DATA INTEGRATION ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: September 27, 2024 - The Data Integration Engineer develops and maintains data pipelines, database development using SQL, and implementing data warehouses. Proficient in using Snowflake alongside cloud-based resources like AWS, with a strong foundation in data modeling, project lifecycle management, and integration techniques. Demonstrates excellent problem-solving abilities, capable of thriving in fast-paced environments, and excels in communicating complex technical information effectively.

Essential Hard and Soft Skills for a Standout Data Integration Engineer Resume
  • SQL
  • ETL Development
  • Data Warehousing
  • Data Modeling
  • API Integration
  • Data Governance
  • Python Programming
  • Cloud Platforms
  • Master Data Management
  • Data Quality Management
  • Problem-solving
  • Communication
  • Adaptability
  • Teamwork
  • Attention to detail
  • Time management
  • Critical thinking
  • Collaboration
  • Flexibility
  • Conflict resolution

Summary of Data Integration Engineer Knowledge and Qualifications on Resume

1. BS in Computer Science with 5 years of experience

  • Experience in delivering Machine Learning pipelines, Software 2.0 concepts
  • Experience leading and doing cloud-native data engineering preferably Azure cloud
  • Deep experience with relational, analytical, and columnar databases
  • Proven strength in SQL, data modeling, data engineering, and data warehousing
  • Deep experience in SQL Server
  • Proficiency in streaming, micro-batch, and batch data transport pipelines
  • Programming in Python and/or Java.
  • Experience with Git, Continuous Integration/Delivery, and related tools
  • Design solutions for structured and unstructured data
  • Experience with Azure Data Factory
  • High level of sensitivity and attention to unit testing, integration, and data quality testing
  • Experience with workflow orchestration tools
  • Experience delivering in a team environment using SAFe Agile framework

2. BA in Information Systems with 3 years of experience

  • Experience as a developer building data pipelines
  • Experience with SQL database development or other comparable environment
  • Experience  with data warehouse implementations
  • Experience working with users in a requirements analysis role
  • Experience using Snowflake with cloud-based resources (e.g. Javascript Stored Procedures, AWS Resources, NoSQL Databases, JSON/XML data formats)
  • Experience with AWS data integration techniques a plus
  • Knowledge of Data Modeling concepts, designs and techniques
  • Knowledge of Data Warehouse project lifecycle, tools, technologies, best practices
  • Ability to develop complex SQL queries and Stored Procedures
  • Experience performance tuning and testing integration pipelines and associated code
  • Strong ability to problem-solve, troubleshoot, and apply root cause analysis
  • Ability to thrive in a fast-paced remote environment with minimal direction, and tight deadlines
  • Excellent verbal and written communication abilities

3. BS in Data Engineering with 4 years of experience

  • Experience in developing large-scale data pipelines in a cloud environment
  • Proficiency in Scala (Object Oriented Programming) or Python, SQL or SPARK SQL
  • Experience with Databricks, including Delta Lake
  • Experience with Azure and cloud environments, including Azure Data Lake Storage (Gen2), Azure Blob Storage, Azure Tables, Azure SQL Database, Azure Data Factory
  • Experience with ETL/ELT patterns, preferably using Azure Data Factory and Databricks jobs
  • Fundamental knowledge of distributed data processing and storage
  • Knowledge of working with structured, unstructured, and semi-structured data
  • Excellent analytical and problem-solving skills
  • Ability to effectively manage time and adjust to changing priorities
  • Experience with  Data Integration technologies and principles
  • Advanced knowledge of T-SQL including complex SQL queries (ex using various joins and sub-queries) and best practices
  • Experience with index design and T-SQL performance-tuning techniques

4. BS in Software Engineering with 5 years of experience

  • Experience working as a Data Integration Engineer or Data Integration Quality Assurance Engineer. 
  • Combined with experience developing SQL.
  • Experience with Quality Assurance testing methodologies and procedures.
  • Knowledge using Infosphere/DataStage or equivalent ETL software
  • Knowledge with Quality Assurance testing methodologies, tools, and procedures.
  • Knowledge with relational databases and using SQL to query using JOIN, WHERE, CREATE, MINUS, UNION, functions such as MAX, MIN, AVG.
  • Experience using Unix and applicable scripting/scheduling tools.
  • Knowledge of the SDLC, ITSM and privacy and security concepts.
  • Able to take on multiple projects concurrently and manage changes in scope along the way.
  • Strong communication and interpersonal skills.
  • Experience integrating data from structured and unstructured formats such as flat files, XML, EDI, JSON, EXCEL
  • Knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases and schemas
  • Experience with Technical Design and Data Modeling
  • Experience in distributed architectures such as Microservices, SOA, and RESTful APIs

5. BA in Data Analytics with 4 years of experience

  • Experience in software design and development
  • Experience in working with integration of data across disparate platforms and applications
  • Experience creating reusable, standard APIs for real-time integration
  • Fluent in RESTFul web services using JSON
  • Experienced in interfacing data between a mix of Cloud and on Prem applications and data stores
  • Familiar with Java, Python, SQL or SOQL
  • Experienced in Snaplogic and/or Java web services for integration between applications a plus
  • Academic or practical knowledge of Accounting and/or Financial concepts (i.e. planning, budgeting, forecasting, or consolidation) is preferred.
  • Create and enforce programming standards and techniques across the organization
  • Ability to function productively on multiple project teams simultaneously
  • Ability to work independently without any supervision
  • Experienced working in a high-paced environment and ability to work effectively under pressure/stressful conditions to meet tight deadlines
  • Ability to work well in a team and interact effectively, including the ability to mentor and provide leadership to other team members

6. BS in Information Technology with 6 years of experience

  • Experience in working as an Data Integration Engineer or Data Integration Production Support Engineer
  • Experience developing ETL with IBM Infosphere Data Stage
  • Continuous experience using the Teradata Database
  • Continuous experience developing SQL and able to demonstrate advanced queries, create tables, views, indexes, joins
  • Experience developing Unix scripts and integration with enterprise scheduling tools
  • Experience working in healthcare
  • Proficient with interviewing and gathering business requirements, definition and design of data source and data flows, data quality analysis, and working with the data architect on the development of logical data models.
  • Proficient in using Infosphere/DataStage, equivalent data integration software, or API software (such as Mulesoft)
  • Proficient with relational databases and using SQL to query, and create tables, views, indexes, and joins.
  • Proficient in using Unix and applicable scripting/scheduling tools.
  • Experience with the SDLC, ITSM and privacy and security concepts.
  • Able to take on multiple projects concurrently and manage changes in scope along the way.
  • Strong communication and interpersonal skills with a focus on concise, cohesive, critical HRO-focused communication with vendors, business users, and executives.
  • Ability to work on multi-disciplined project teams to consistently rapid delivery while driving an aggressive schedule, identifying all impacts and proposing resolutions.

7. BA in Business Analytics with 5 years of experience

  • Experience developing in Talend or a similar ETL tool and pulling data from multiple sources (Salesforce, flat files, XML, JSON, etc.)
  • Experience creating reports/visualizations with a data visualization tool such as Power BI, Tableau, or similar, with particular preference to experience with implementation, standardization, administration, or backend design of that tool
  • Experience designing complex data flows with end-to-end automation of complex requirements
  • Background in dimensional data modeling and data warehousing
  • Experience with Redshift/cloud warehousing and SQL
  • Familiarity with an enterprise scheduler
  • Experience with one or more scripting languages such as Python
  • Working knowledge of source control, change control, version control
  • Familiarity with AWS services such as S3, EC2, Lambda, Step Functions, etc.
  • Background with unit and integration testing basics
  • Understanding of API frameworks
  • Knowledge of or a desire to learn more about common analytical and statistical techniques

8. BS in Applied Mathematics with 3 years of experience

  • Understands and applies information system or operational solution related data modeling methods and tools to perform data integration tool interoperability
  • Ability to provide Tier 3 support to operations teams when deployed into production.
  • Ability to obtain and maintain a public trust clearance
  • Able to use a computer.
  • Able to communicate both verbally and in written form
  • Able to obtain a government security clearance.
  • Experience supporting Department of Veterans Affairs (VA) and/or other federal organizations
  • Experience with Agile methodology, Scrum approach, SAFe and DevOps
  • Experience with Azure DevOps Services
  • Advanced SQL, NoSQL query and scripting. 
  • Experience with Linux, command line, Java
  • Knowledge of agile methodologies
  • Ability to provide a level of effort estimates and to perform tasks within the estimated level of effort and schedule
  • Excellent oral and written communication skills

9. BA in Computational Science with 5 years of experience

  • Experience with Python, Java
  • Experience with relational database systems (i.e. DB2, SQL Server) and non-relational databases such as (Amazon RDBS, MongoDB, and Hadoop tools)
  • Understanding of data design concepts (i.e. data modeling, data mapping).
  • Knowledge of emerging cybersecurity technologies
  • Experience modeling data, message, and service interoperability
  • Understanding of technical, operational, and management issues related to the design, development, and deployment of complex and distributed systems
  • Understanding of interrelationships between critical infrastructure protection and cybersecurity
  • Knowledge of Powershell 
  • Data Integration experience with IT enterprise system integration API such as JSON, XML, XSLT, SQL, XML, FHIR and VMF (Variable Message Formats), development interfacing with SQL, NoSQL, other relational and non-relational databases, 
  • Experience with ETL using technologies such as SSIS, Polybase, REST, SOAP, Native API, and WSDL, Logstash, Transporter, Python. JavaScript, XML, XSLT, JSON, SQL
  • Experience using technologies such as Spark, Impala, Unix Shell/KSH, control-M, SQL, Hive, and Oracle PL/SQL

10. BS in Electrical Engineering with 6 years of experience

  • Experience with MuleSoft API management or similar tool
  • Experience in complex software development and analysis
  • Experience in Soap and/or RESTful Web Service development
  • Experience in database, SQL Server preferred.
  • Strong written and verbal communication skills
  • Able to work with a variety of users and cross-functional teams within the organization
  • Experience in design, coding, testing, and implementation of MuleSoft APIs and MuleSoft Anypoint
  • Experience with Java Web Services
  • Experience in Agile and SCRUM development techniques
  • Experience as a Data Engineer in large enterprise or commercial data environment
  • Knowledge and experience setting up Deep Learning pipelines, and application of analytics libraries (e.g., Pytorch, TensorFlow).
  • Familiarity with SQL Server Analysis Services BI stack (SSIS, SSAS, SSRS), Reporting tools (e.g., Tableau, Sisense or Power BI), Analytics platforms (e.g., DataBricks, H2oai)
  • Strong analytical, troubleshooting, and problem-solving skills – experience in analyzing and understanding business/technology system architectures, databases, and client applications

11. BA in Statistics with 5 years of experience

  • Flexibility and willingness to take on a broad range of engineering and support assignments
  • Strong professional skills including Time Management and Communication at different levels
  • Understanding of DevOps and CI/CD practices and tools
  • Track record and skill sets demonstrated on high-intensity, high-complexity projects
  • Comfort and confidence in interacting with business users
  • Ability to use analytical skills to translate business ideas into technology solutions
  • Experience in Agile delivery framework
  • Data modeling and design understanding, including conceptual, logical, and physical modeling
  • Experience working with distributed external resources and vendor teams (onshore and offshore)
  • Clear communicator of technical details both verbally and in writing
  • Exposure to Python, R and/or similar analytical languages
  • Exposure to Azure Data Services (Data Factory, Databricks)

12. BS in Computer Engineering with 6 years of experience

  • Good knowledge of Data Integration concepts, batch integrations. 
  • Experience with at least one database platform and one ETL technology (Internal POC / project or external engagement)
  • General development experience with classic and modern Cloud Data components
  • General understanding of the purpose and main principles of dataflow orchestration tools, data replication tools and data preparation tools
  • Good knowledge of Databases (SQL optimization, Relations, Stored Procedures, Transactions, Isolation Levels, etc.)
  • Expected experience working with at least one Relational Database (RDBMS MS SQL Server, Oracle, MySQL, PostgreSQL)
  • Hands-on experience with data semantics (ERD) and data modeling (OLTP vs OLAP, Inman vs Kimbal approach, SCD)
  • Coding experience in one of the data-oriented programming languages such as SQL, Python, SparkSQL, PySpark, R, Bash, etc
  • Understanding of Data Platform concepts (Data Lake, Data Warehouse, Delta Lake/Lakehouse).
  • Understanding of Landing and staging area. Data Cleansing
  • Basic understanding of Data Governance aspects (Master Data Management, Data Catalog, Data Lineage, etc.)
  • Good understanding of Data Security (object/system level grants, etc.)
  • Understanding of CI/CD principles and best practices
  • Experience in direct customer communications

13. BA in Operations Research with 5 years of experience

  • Experience with database design and development experience with SQL Server
  • Microsoft SQL Server (2012+) proficiency including strong T-SQL query, stored procedure and function development experience
  • Proficiency with SQL and query tuning, as well as optimization experience
  • Ability to analyze and trace existing SQL logic to determine data flow and troubleshoot issues
  • Ability to learn and execute Salesforce Marketing Cloud (SFMC) implementations
  • Ability to collaborate as an SQL and integration SME with internal teams
  • Ability to take ownership of maintaining and monitoring data-driven processes by owning or triaging issues to ensure resolution
  • Understanding of ETL and API concepts
  • Salesforce Marketing Cloud (SFMC) implementation
  • Microsoft Integration/Analysis Services (SSIS, SSRS, SSAS)
  • Python (or similar) development experience that leverages API web services
  • Cloud-based data solutions (AWS, Microsoft Azure)

14. BS in Cybersecurity with 6 years of experience

  • Experience writing effective SQL or Hive queries to analyze large relational datasets
  • Experience performing advanced file searches and text manipulation using the Unix/Linux command line
  • Comfortable working directly with client teams
  • Experience writing software tools using object-oriented programming
  • Understand code versioning concepts and have experience with tools like git
  • Can connect dots among different pieces of information gained from multiple sources
  • Experience troubleshooting software applications that involve APIs, databases, and frontend
  • Data migration and transformation
  • Microsoft Visual Studio and Azure DevOps
  • BI reporting experience (Power BI, Tableau, SSRS)
  • Healthcare, pharmaceutical and/or marketing
  • Knowledge of best practices when working with sensitive data classifications such as PII and/or PHI
  • Adobe Campaign data architecture and integration
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