ETL DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Feb 18, 2025 - The Extract, Transform, Load (ETL) Developer specializes in data pipeline tools and data modeling with extensive experience in compliance frameworks such as PCI, SOX, SOC 2, and ISO 27001. Expert in designing ETL frameworks, model segmentation techniques, and supporting data warehouse functionalities to enhance reporting processes. Proficient in using major databases like SQL, MySQL, Oracle, and Redshift, and skilled in micro-services architecture and cloud-based solutions.

Essential Hard and Soft Skills for a Standout Extract, Transform, Load Developer Resume
  • ETL Management
  • SQL Construction
  • Data Transformation
  • Data Validation
  • Data Warehousing
  • ETL Process Management
  • Data Extraction
  • Data Pipeline Design
  • Performance Optimization
  • Data Modeling
  • Teamwork
  • Client Communication
  • Problem-Solving
  • Collaboration
  • Process Improvement
  • Project Management
  • Troubleshooting
  • Peer Review
  • Requirement Analysis
  • Business Requirement Mapping

Summary of Extract, Transform, Load (ETL) Developer Knowledge and Qualifications on Resume

1. BA in Computer Science with 3 Years of Experience.

  • Experience in driving continuous improvement with a track record of achieving results.
  • Familiar with at least one of these technologies: Salesforce, Marketo, Tableau, Talend, Alteryx, Hadoop, and a strong user of MS Office, especially Excel.
  • Ability to work, lead, and achieve results in a global environment.
  • Self-starter/action-oriented: Can identify opportunities for process improvement
  • Demonstrated ability to work as a team player and enjoys collaboration.
  • Demonstrated ability to work with minimal supervision.
  • Demonstrated ability to work with attention to detail.
  • Demonstrated excellence in troubleshooting and analysis skills.
  • Must be a highly energetic individual and a motivated team player.
  • Basic to intermediate experience with Java Programming.
  • Experience in building, deploying, analyzing and iterating on complex ETL integrations
  • Experience working with APIs and parsing XML or JSON formatted data outputs.
  • Strong management skills and ability to develop collaborative relationships across multiple teams to influence and drive results in a fast-paced, deadline-oriented environment, while sustaining high performance standards
  • Strong knowledge of system development life cycle
  • Strong understanding of MDM Master Data Management
  • Understanding of data modeling principles for data warehouses
  • Proficient in ETL methodology in performing Data Profiling, Data Migration, Extraction and Transformation.
  • Experience in the Kimball method of database design and understanding of the Data Vault concept

2. BA in Artificial Intelligence with 6 Years of Experience.

  • Solid professional experience with ETL and data integration
  • Fluent with SQL and PowerCenter
  • Experience with Extract, Transform, Load (ETL) data processing.
  • Understanding of data modeling practices using the third normal form.
  • Understanding of data warehousing and data lake principles.
  • Ability to analyze and understand existing enterprise applications and databases
  • Ability to analyze and understand existing SQL scripts and ETL processes.
  • Excellent verbal and written communication skills.
  • Ability to adapt quickly in a rapidly changing dynamic environment.
  • Ability to prioritize and multi-task across numerous work streams
  • Detail oriented with excellent follow-through.
  • Ability to deal with and resolve ambiguity.
  • Ability to prioritize multiple deliverables, and respond under pressure with competing priorities
  • Good team player who is willing to work with other team members in knowledge sharing.
  • Strong problem-solving skills, analysis skills and attention to detail
  • Programming experience in SAS DI
  • Expertise in SQL Server/Oracle Architecture development tools and data modeling
  • Experience in structured analysis and design.
  • Working knowledge of SQL
  • Knowledge of business intelligence solutions and data warehouse development
  • Strong delivery focus to complete tasks within schedule and quality standards

3. BA in Statistics with 6 Years of Experience.

  • ETL experience using a data integration tool like Informatica or Talend
  • Strong experience in Design, Develop, Test, Implementing and Troubleshoot ETL jobs or workflows (Informatica or Talend)
  • Experience working with converting relational data to other formats like JSON, XML, Flat files etc. and vice versa
  • Strong database experience especially with Microsoft SQL Server, MySQL, Postgres and writing complex SQL's, PL/SQL and Performance tuning.
  • Experience performance tuning SQL, and ETL tool (Informatica, or Talend) jobs
  • Experience with generating large amounts of test data using an ETL tool (Informatica, or Talend)
  • Experience using data modeling tools like ERWIN or ER Studio
  • Experience using GIT
  • Experience with CI/CD especially as it relates to the ETL tool
  • Be able to perform in a fast-paced environment
  • Excellent analytical and multitasking skills
  • Be able to work collaboratively as well as independently
  • Excellent writing and communication skills
  • Experience developing with Talend
  • Experience coding with Java
  • Experience with scripting (Python, JavaScript, Shell (Linux or Windows))
  • Jasper Reporting experience
  • Experience in SQL 2012/2016 database development, with an emphasis on data warehouse/ Bulk load methodologies and technologies.
  • Experience in an industry-standard ETL tool (SAP DI / Informatica / SSIS / Data Stage).
  • Knowledge of waterfall and rapid-application-development software development life cycles.
  • Excellent follow through and initiative, and ability to complete tasks accurately and on-time.

4. BA in Data Engineering with 4 Years of Experience.

  • Experience with querying SQL databases
  • Experience in creating ETL routines
  • Excellent analysis, debugging and troubleshooting skills, and problem-solving 
  • Development experience in Informatica PowerCenter strongly 
  • Knowledge of or experience with data quality tools like Informatica IDQ strongly 
  • Advanced working knowledge of information systems and operations systems for supported business groups
  • Comprehensive understanding and working knowledge of Data Warehouse loading, tuning, and maintenance
  • Advanced understanding of Informatica, SQL, Oracle, and/or similar tools
  • Working knowledge of loading techniques for RDBMS
  • Advanced ability to create and work RFC and SR tickets with Oracle On Demand, Oracle Managed Cloud Services and Oracle Support
  • Strong in the use of Microsoft Office software including a strong ability to analyze data using Excel for reporting and data mining purposes
  • Strong people skills including the ability to interact with employees at all levels
  • Excellent written and oral communication skills
  • Ability to meet expected delivery dates and the tasks necessary to achieve objectives
  • Must be a self-starter and able to manage the investigations function with minimal supervision
  • Advance experience with data visualization concepts and tools
  • Advanced computer skills and conversance in information technology issues
  • Information Systems, Computer Science, or equivalent work experience 
  • Strong verbal and writing skills, and the ability to communicate with technical and non-technical staff alike.
  • Familiarity with Word, Visio, Excel and MS projects.
  • Strong with Oracle, SQL
  • Good knowledge of Unix

5. BA in Applied Mathematics with 10 Years of Experience.

  • Experience in a software development environment.
  • Strong experience with the Informatica Data Quality (DQ) tool, especially the Admin console.
  • Knowledge of the DQ Data Analyst tool.
  • Experience with other Informatica product(s).
  • Strong database experience in any or all of the following databases: Oracle, SQL Server, Teradata and DB2.
  • Strong Informatica ETL coding experience.
  • Extensive experience with Red Hat Linux shell scripting.
  • Knowledge of/exposure to installation of Informatica or other off-the-shelf products.
  • Able to perform all functional duties independently on high-visibility programs, or mission-critical aspects of a given program.
  • Able to oversee the efforts of direct reporting resources and/or be responsible for the efforts of all staff assigned to a specific job
  • Experience training/mentoring less experienced personnel.
  • Working knowledge of/experience with Agile methodologies.
  • Knowledge of/experience with the following: VersionOne, ServiceNow and Application Lifecycle Management (ALM).
  • Informatica ETL development and OFSAA Support experience
  • Strong SQL/PLSQL programming skills
  • Must have very strong experience with CA7 scheduling tool
  • Very strong programming and debugging skills.
  • Must have worked on TOAD.
  • Must have good experience working with tools such as ServiceNow, HP ALM etc.
  • Very strong communication skills

6. BA in Management Information Systems with 8 Years of Experience.

  • Experience in Software development
  • Expertise in building ETL applications using Ab Initio, Data Stage, Talend or ACE
  • Good knowledge of RDBMS - Oracle, with the ability to write complex SQL needed to investigate and analyze data issues
  • Experience in big data ecosystems Hadoop, Spark and Hive
  • Good in UNIX shell scripting
  • Hands on experience in Autosys /Control Centre scheduling tools
  • Experience in working with complex data warehouses
  • Must be highly skilled in design, loading, and querying of dimensional and relational data models in a data warehouse environment using Informatica ETL Software
  • Must have proven experience working with custom-built dimensional data models in Oracle from an ETL design perspective
  • Must have a strong command of SQL, and ANSI SQL, with the ability to read PL/SQL, for ETL relating to data warehousing and integration
  • Must be proficient in reading and creating ER diagrams and illustrating process flow
  • Oracle database modeling experience
  • Prior experience with PandC Regulatory Reporting 
  • Familiarity with SAP BODI Data Architect Software
  • Experience in data integration and/or data warehousing using the above technologies (Oracle and Data Services)
  • Excellent verbal and written communication skills with a strong focus on the ability to communicate technical issues to a diverse non-technical audience
  • Strong analytical skills, able to effectively solve problems in a timely manner

7. BA in Business Analytics with 7 Years of Experience.

  • Experience in-depth hand’s on application development experience in Informatica ETL workflows and Exadata database.
  • Experience with data load performance tuning in Informatica and Oracle/Exadata.
  • Experience in Autosys and Python
  • Experience in Bit Bucket and Ansible Tower tools on the Horizon platform for CI/CD models.
  • Knowledge of Agile methodology, Scrum team, sprint planning, retrospective meet along with JIRA tool.
  • Ability to work and communicate effectively with program management.
  • Ability to work independently and as a member of a team.
  • Knowledge of Banking or finance.
  • Good communication, and problem-solving skills.
  • Prior experience working with .NET
  • Moderate to Strong SQL Server development hands-on experience.
  • Dimensional modeling experience.
  • Strong skills with ETL Tools and experience with WhereScape
  • Microsoft Certified Professional certificate in MCSA: SQL 2016 or ideally 2019.
  • Java and/or .NET experience and Supply Chain Industry experience
  • Ability to learn and implement new and different techniques
  • Strong teamwork skills
  • Strong analytical and problem-solving skills

8. BA in Software Engineering with 7 Years of Experience.

  • Proven work experience as an ETL Developer
  • Expert level of knowledge of Microsoft SQL services and technologies (SSIS, SSAS, SSRS and SQL Server 2012+)
  • Experience with MS Visual Studio and SQL 
  • Experience in BIML development 
  • Strong SQL scripting knowledge, able to create complex SQL queries
  • Good working knowledge of at least one scripting language (Bash, Python or Perl)
  • Advanced knowledge of relational databases
  • Demonstrated knowledge of data warehouse concepts (data normalization, star schema, etc)
  • Good understanding of physical and logical data modeling
  • Ability to troubleshoot and solve complex technical problems
  • Good understanding of software development best practises
  • Working experience in Agile projects
  • Experience in working in high priority projects (high pressure on delivery)
  • Able to communicate complex information clearly and concisely.
  • Able to work independently and also collaborate across the organization
  • Highly developed problem-solving skills with minimal supervision
  • Excellent written and verbal communication skills in English

9. BA in Data Science with 5 Years of Experience.

  • Experience building data pipelines and using ETL tools
  • Demonstrated mastery in SSIS
  • Demonstrated mastery in one or more SQL variants: T-SQL or PL/SQL
  • In-depth knowledge of Microsoft SQL Server and SSIS
  • Knowledge of data management, data integration and database development technologies and processes
  • Up-to-date specialized knowledge of data wrangling, manipulation and management
  • Demonstrated mastery in database concepts and large-scale database implementations and design
  • Excellent analytic and troubleshooting skills
  • Proficiency with data profiling and data migration
  • Knowledge of real-time data acquisition and/or automation/controls
  • Working knowledge of application development and data modeling to support the implementation and development of analytics
  • Demonstrated success in technical proficiency, creativity, collaboration, and independent thought
  • Strong interpersonal skills to resolve issues in a professional manner, lead working groups, negotiate and create consensus
  • Warehousing or Transportation Logistics experience
  • Experience with Cognos or BI tools 

10. BA in Information Technology with 7 Years of Experience.

  • Experience implementing ETL for Data Warehouse and Business intelligence solutions
  • Experience in RDBMS design and development, and performance tuning
  • Deep familiarity with MS SQL Server 2012 to SQL 2017/2019 database technologies
  • Experience with SSIS and T-SQL/ stored procedures
  • Familiarity with .NET and C# framework
  • Working experience with Python
  • Skills to read and write effective, modular, dynamic, parameterized and robust code, establish and follow already established code standards, and ETL framework
  • Experience using Visual Studio to build SSIS packages
  • Excellent troubleshooting and optimization skills: interpreting ETL logs, performing data validation, dissecting SSIS code, understanding the benefits and drawbacks of parallelism
  • Experience with CDC, using expressions, scoping of variables, commonly used transforms, event handlers and logging providers
  • Ability to understand and optimize the surrogate key generation and inconsistent data type handling
  • Experience in performance tuning of the SSIS packages, deploying and administering SSIS packages, proficient in utilizing scripting in SSIS
  • Understanding SQL Server / External scheduling: abilities and limitations, ability to select the most optimal scheduling solution and call SSIS jobs from the command line or from the Scheduling tool locally / remotely
  • Experience in designing jobs that can be easily promoted from one (Dev) environment to another (Test or Prod) seamlessly, without modification
  • Ability to create ETL specifications, unit, and system test cases
  • Proficiency in reading, writing and performance tuning SQL and T-SQL

11. BA in Computer Science with 8 Years of Experience.

  • Demonstrated experience working with large datasets and relational databases
  • Experience working with data models, reporting packages, and knowledge of data warehousing concepts to build a data warehouse for internal departments of the organization
  • Prior experience in migrating large-volume datasets from on-premise to cloud environments
  • Hands-on experience in methodologies and processes for managing large-scale databases across different platforms
  • Excellent analytical capabilities and business presentation skills
  • Strong interpersonal communication with excellent verbal and written communication skills
  • A motivated individual with a positive attitude who pays attention to detail
  • Experience working with a Federal Customer
  • Strong understanding of Relational Database concepts
  • Proficient at troubleshooting technical issues (query performance, data integration anomalies)
  • Relational Database experience (SQL Server)
  • ETL experience (SQL Server Integration Services)
  • Experience with Data Warehouse concepts
  • Excellent written and verbal communication.
  • Proficient in T-SQL/Stored Procedures

12. BA in Artificial Intelligence with 5 Years of Experience.

  • Strong Python scripting experience.
  • In-depth knowledge and hands-on experience Unix/Linux programming (shell and/or Perl).
  • Knowledge and hands-on experience with ETL development (Informatica, Composite).
  • Strong SQL skills and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance. 
  • Knowledge and hands-on experience with RDBMS systems 
  • Good communication and leadership skills.
  • Strong analytical and communication skills.
  • Deep knowledge of Databases, stored procedures, and optimizations of huge data.
  • Experience with building the infrastructure required for data ingestion and analytics.
  • Ability to fine-tune report-generating queries.
  • In-depth knowledge of ingestion techniques, data cleaning, de-dupe, sharding, and partitioning.
  • Should be a fast learner who is self-motivated to explore existing data models and make connections.
  • Strong RDBMS development experience and internal knowledge.
  • Strong understanding of data modeling techniques and working knowledge with OLTP and OLAP systems.
  • Database design and administration experience
  • Must be proficient with SSIS, Stored Procedures, TSQL and TFS
  • Ability to work effectively with remote teammates and users
  • Experience reading data of various file types including but not limited to delimited and Excel files
  • Experience designing and optimizing moderate to complex SQL queries involving table joins and correlated sub-queries
  • Excellent interpersonal skills with the ability to establish working relationships with individuals at varying levels within the organization

13. BA in Statistics with 6 Years of Experience.

  • Data analysis and parsing experience
  • Java development experience coupled with significant SQL/database experience
  • Experience with the full data lifecycle, from ingest through display, in a Big Data environment
  • Experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs
  • Experience with Hadoop, Hbase, MapReduce
  • Experience with Kafka and Zookeeper
  • Experience developing and performing ETL tasks in a Linux environment
  • Experience with Elasticsearch and Gradle
  • Understands all aspects of dimensional modeling in regards to ETL design and development. 
  • Must have prior experience designing loads for snapshot facts, accumulating snapshot facts, factless facts and other hybrid dimension types.
  • Strong understanding of enterprise architecture, security, management and monitoring
  • Strong understanding of data management best practices and concepts including data quality, reference data, metadata, and data lineage.
  • Demonstrated integrity within a professional environment
  • Ability to trace and troubleshoot data behavior and issues
  • Ability to adapt to new situations
  • Ability to work on several projects simultaneously with guidance
  • Experience with Microsoft’s Modern Data Warehouse Architecture 
  • Strong problem solving and analytical skills
  • Strong working experience with performance tuning and SQL instance troubleshooting

14. BA in Data Engineering with 7 Years of Experience.

  • Experience as ETL Developer with strong database development skills using PL/pgSQL, PL/SQL
  • Experience in building Data Warehouse and Data Mart solutions
  • Experience in Dimensional Modeling, Star and Snowflake Schemas design and maintaining dimensions using Slowly Changing Dimensions(SCD)
  • Experience in scripting using Shell, Python
  • Experience in SQL performance tuning and optimization techniques
  • Domain knowledge in Finance and CRM and products like Salesforce CRM and NetSuite ERP 
  • Prior experience in migrating SQL code between different database engines 
  • Strong design and execution bend of mind
  • Strong work ethic, good interpersonal, communication skills, and a high energy level
  • Ability to prioritize and manage schedules under tight, fixed deadlines
  • Excellent written and verbal communication skills
  • Ability to build relationships at all levels
  • Ability to independently work with vendors in resolving issues and developing solutions
  • Strong interpersonal skills

15. BA in Applied Mathematics with 5 Years of Experience.

  • Experience in software development
  • Demonstrated experience in Datastage or SSIS/SQL Server.
  • Ability to understand the business needs/requirements and translate these requirements into well-designed solutions
  • Experience working in an Agile development lifecycle.
  • Experience supporting a production service in a DevOps friendly environment
  • Skills in analytical / problem-solving and in time and resource management
  • Hands-on experience in deploying and maintaining infrastructure in the cloud.
  • Skills and knowledge in Oracle and/or SQL Server.
  • Experience working with building automation tools and SCM like Jenkins, Git and Ansible.
  • Established network and platform scripting skills. 
  • Informatica PowerCenter development experience and Talend experience
  • Experience in PL/SQL and Unix Shell Scripting
  • Database skills with experience with Data Warehousing (MOLAP, ROLAP, EDW)
  • Experience with Autosys or Control M for scheduling
  • Experience with Informatica Administrator
  • Experience in ETL development and SSIS ETL tool
  • Experience with Sql and Pl/Sql development
  • Excellent analytical and program debugging skills
  • Experience with designing data conversions from a wide variety of source system
  • Strong understanding of Data warehouse concepts
  • Proficient with SQL, Complex SQL Tuning, Stored Procedures, SQL Server Data Warehousing best practices 

16. BA in Management Information Systems with 6 Years of Experience.

  • Experience in ETL automation tools such as SQL Server Integration Services (SSIS), Informatica PowerCenter/IDQ, or stored procedures
  • Familiarity with cloud-based ETL tools such as Azure Data Factory and Informatica Cloud
  • Knowledge of modern data pipeline tools such as Apache NiFi/Kafka 
  • Experience with migration paths from legacy systems to modern cloud platforms
  • Experience in data warehousing projects and business intelligence projects
  • Experience in the healthcare industry 
  • Working knowledge of software engineering best practices
  • Team player who mentors and upskills junior resources
  • Ability to explain technical problems or concepts to non-technical users
  • Ability to own tasks and be accountable for workload
  • Ability to build team morale and a culture of collaboration
  • Ability to co-develop solutions with team members and/or client
  • A highly proactive, self-starter with a strong work ethic, high level of professionalism and exceptional problem-solving skills.
  • Ability to hit the ground running after initial onboarding with minimal hand-holding thereafter.
  • Experienced in working with various level of stakeholders and multi-cultural/global teams.
  • An excellent technical and non-technical communicator, both written and verbal.
  • The ability to effectively manage quality and to ensure a consistently high degree of successful delivery with the resource, time and cost constraints.
  • Exemplary co-ordination skills and the ability to understand business drivers / IT requirements.
  • Ability to work under pressure with tight deadlines, maintaining attention to detail.

17. BA in Business Analytics with 5 Years of Experience.

  • IT work experience focused on Data Acquisition and Data Integration using DataStage 
  • Experience with ORACLE SQL and PLSQL Package 
  • Experience working with flat files and XML transformations 
  • Experience in Data Warehousing applications, directly responsible for the Extraction, Staging, Transformation, Pre Loading and Loading of data from multiple sources into a Data Warehouse 
  • Knowledge of Business Intelligence Tools, Enterprise Reporting, Report Development, data modeling, data warehouse architecture, data warehousing concepts 
  • Comfortable with AWS cloud (S3, EC2, EMR, Redshift, etc.) 
  • Ability to collaborate with colleagues across different school locations
  • Experience implementing complex ETL pipelines preferably with Spark toolset 
  • Experience with Java particularly within the data space 
  • Hands-on experience with SQL NoSQL databases -MongoDB, PostgreSQL 
  • Good experience writing complex SQL and ETL processes Technical expertise regarding data models, database design development, data mining and segmentation techniques 
  • Good understanding usage of algorithms and data structures 
  • Good Experience building reusable frameworks 
  • Knowledge of UNIX shell scripting 
  • Strong written and verbal communication skills in English. 

18. BA in Software Engineering with 7 Years of Experience.

  • Experience in data warehousing development in large reporting environment(s) related to clinical, biological, and genomics data.
  • Experience in data warehouse architecture, design, development and data integration
  • Experience working with relational databases including SQL Server, PeopleSoft/Oracle
  • Experience in writing complex SQL, T-SQL or PL/SQL
  • Development experience with ETL tools, such as Microsoft SSIS, Informatica
  • Strong understanding of Data Architecture, ETL Architecture, SQL Server security, performance monitoring and optimizing
  • Must have a strong understanding of Kimball's approach to data warehousing using denormalized star schemas and snowflakes
  • Hands on experience performance tuning database applications including indexing, with the ability to interpret execution plans
  • Experience with medical/clinical data exchange standards, such as FHIR and HL7
  • Knowledge or experience with any of visualization tools, such as Tableau, Microstrategy 
  • Prior experience working with healthcare financial and revenue cycle systems
  • Experience with Epic 

19. BA in Data Science with 2 Years of Experience.

  • Experience in full life-cycle development of ETL workflows, data and systems integrations
  • Experience with one or more mapping/ETL tools
  • Experience with one or more traditional development languages
  • Experience processing data including validation techniques, processing efficiencies, file processing (hierarchical, flat, delimited, etc.), and retrieving or populating data within a DBMS
  • Solid understanding of relational database concepts, data quality, metadata management, and performance tuning
  • Experience writing SQL queries and stored procedures
  • Experience with RedPoint Data Management and Java
  • Experience with X12 EDI standards for Healthcare data (834, 837, etc.) and HIPAA
  • Excellent written and verbal communication skills
  • Proficiency with Microsoft Office

20. BA in Information Technology with 6 Years of Experience.

  • Hands-on experience in ETL tools like Informatica/Datastage and SQL development
  • Experience developing and managing Essbase cubes.
  • Experience in Base SAS and Shell Script
  • Strong experience with Microsoft SQL Server
  • Experience in Reporting tools like Power BI, CDM and Tableau
  • Experience in Retail Credit Risk 
  • Excellent communication and presentation skills (written/verbal)
  • Proficiency in Oracle SQL and Oracle VLDB/Partitioning
  • Proficiency in Linux scripting (Bash/Perl/Python/etc.) and file generation
  • Proficiency in database concepts and systems types including OLTP, Data Mart
  • Experience with healthcare data and ODI
  • Able to work well with various teams
  • Ability to establish and maintain professional working relationships with all levels of staff, clients and the public.

21. BA in Computer Science with 5 Years of Experience.

  • Skills in SQL, NoSQL, Pig, Matlab, SAS, Java, Ruby, C++, Perl, and APIs to work with available data sources.
  • Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, BigQuery, Snowflake and Spark.
  • Experience in Python programming language and frameworks such as Flask, AIOhttp
  • Understanding of data structures, data modeling and software architecture.
  • Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc.).
  • Experience with Cloud platforms such as Google cloud platform is a must, and AWS
  • Experience designing and implementing distributed software systems
  • Good oral and written English communication skills.
  • Strong grasp of established and emerging technologies, systems, platforms, and software.
  • Ability to work in a fast-paced delivery-oriented environment.
  • Ability to deliver short term results while investing in long term strategic solutions.
  • Self-starter, and Self-motivated and able to learn independently.
  • Team player who is eager to help others to succeed.

22. BA in Information Technology with 4 Years of Experience.

  • Strong knowledge and hands-on experience with data pipeline tools 
  • Experience in data modeling 
  • Knowledge of compliance frameworks PCI, SOX, SOC 2, ISO 27001 
  • Experience in supporting a data warehouse in identifying and revising reporting requirements 
  • Knowledge and hands-on expertise in processing confidential data and information according to guidelines 
  • Strong interpersonal communication and ability to solve complex problems 
  • Hands-on experience with databases e.g., SQL, MYSQL, Oracle, Redshift, etc.
  • Experience in model design, segmentation techniques, and ETL Frameworks 
  • Knowledge and understanding of micro-services architecture 
  • Strong analytic skills, including mining, evaluation, analysis, and visualization 
  • Experience with enterprise-level cloud-based development, deployment, and auditing, including PAAS, IAAS, and SAAS. 
  • Self-motivated and proactive with demonstrated critical thinking and creative problem-solving skills
  • Strong presentation, documentation and interpersonal skills
  • Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities
  • Experience working on Data Lake type of setups to provide quick access to data for reporting
  • Experience in relational and multi-dimensional databases as well as 2-tier and 3-tier architecture.
  • Experience working any of the ETL tools such as Oracle Data Integrator ODI, DataStage, preferably SSI
  • Software Development experience
  • Ability to quickly troubleshoot and resolve production-related issues
  • Strong communication skills and the ability to perform customer-facing duties

23. BA in Data Science with 5 Years of Experience.

  • SAP HANA experience
  • Data Integration development experience with hands-on experience in SAP BODS, HANA
  • Experience with SAP HANA Database development and technologies such as: HANA CDS, Calculation Views, Tables, synonyms, sequence, triggers, table functions and procedures using SQL/PL SQL scripts
  • Experience in Data Warehousing or Data Lakes which includes Data integration concepts, analysis and development of Dataflows, mappings using needed transformations using BODS
  • Experience using SAP ETL Tools such as Data Services and Data Intelligence, Python scripts
  • Experience in data transformation features such as: Preserving, Hierarchy Flattening, Match Transform, Data Cleansing Generator, Lookup, Fuzzy Lookup, etc.
  • Strong BODS Tech design and development expertise
  • Experience in BODS Designer Components - Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats
  • Knowledge of Data Quality Transformation
  • Experience with multiple end to end large Data Conversion Projects using BODS to convert data from Non-SAP to SAP or vice versa
  • Strong knowledge of Data Integration design and working knowledge of SAP Data Services, Information Steward, and Data Migration Best Practices
  • Knowledge of SAP HANA Advanced Modelling (SAP HANA Text, SAP HANA Graph, SAP HANA Spatial, SAP HANA PAL) 
  • Experience Developing SAP HANA XS/XSA applications based on the HANA architecture 
  • Experience with complex business projects
  • Demonstrated ability to understand business requirements and the implications of those requirements on current and future roadmaps
  • Understanding, at a detailed level, all architectural dependencies of technologies in IT environments
  • Demonstrated behaviors of a curious, logical thinker and a strong systems aptitude
  • Proven ability to make and drive solution decisions
  • Experience with data migrations and coordination in a cross-project management team and business functions
  • Fundamental understanding of data modeling stages and techniques
  • Experience with performance tuning and optimization SAP HANA and applications
  • Expertise with Data integration tools (including ETL and data replication tools)
  • Experience with scripting languages such as Python or javascript

24. BA in Software Engineering with 6 Years of Experience.

  • Experience with design, development, automation, and support of applications to extract, transform, and load data
  • Experience within a total information technology (IT) environment
  • Advanced SQL skills
  • High level expertise in Informatica
  • Additional knowledge of PowerExchange, Salesforce, Powershell, Autosys
  • Experience using a structured programming language (Python, R, Java)
  • Advanced troubleshooting and problem-solving skills
  • Experience in cloud and ETL cloud tooling for Azure
  • Knowledge and Experience with Blaze
  • Experience in data visualizations
  • Experience working with Service Desk or support data
  • Experience with ServiceNow data
  • Experience on ETL for files, Mainframe, RDBMS
  • Direct hands-on experience as a SQL Server DBA/SQL developer.
  • Understanding and previous background in Cloud Operations.
  • Experience with automation and multiple scripting languages including but not limited to Ansible, Bash, and PowerShell.
  • Windows/Linux experience and SaaS Cloud computing experience 
  • Kubernetes/docker/container experience 
  • Strong time management, organization, analytical skills and the ability to identify opportunities for optimization and process improvement.
  • Highly motivated and outstanding interpersonal skills (both oral and written) and collaborate across departments of all skill levels (must be an effective communicator)

25. BA in Business Analytics with 9 Years of Experience.

  • Experience in Data/ETL technologies
  • Experience with SQL Server, Oracle, AWS Aurora (PostgreSQL), Stored procedure
  • Experience with following Data Engineering languages and technologies
  • Knowledge on SDLC
  • Experience in Agile Methodology
  • Strong customer service skills
  • Creative and effective in oral and written communication, ability to communicate with all stakeholders in distributed teams
  • Excellent analytic approach and problem-solving technique
  • Able to prioritize and manage multiple projects simultaneously in order to meet deadlines
  • Strong organizational skills, including the ability to respond quickly in a fast-paced environment
  • Strong understanding of Data warehousing (Dimensional Modeling, ETL, etc.) and RDBMS concepts
  • Experience with ETL tools such as Talend, Informatica, Data Stage etc 
  • Experience in SQL, Stored Procedures and Table Design 
  • Experience in SQL Query optimization and ETL Data loading Performance 
  • Experience as Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc. 
  • Experience in shell scripting 
  • Experience in Snowflake cloud technologies
  • Experience in real-time streaming technologies 
  • Experience deploying machine learning models and automating processes in production 
  • Experience with cloud technologies(AWS, Azure, Google Cloud Platform)