ETL ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Jun 12, 2025 - The Extract, Transform, Load (ETL) Engineer leverages extensive experience in RDBMS and NoSQL databases, implementing data warehouses and migrations. Expertise in ETL platforms like Talend MDM, Informatica, Pentaho, and SSIS, enhancing large-scale data processing and management systems. Proficient in Python and JavaScript, familiar with Hadoop, Spark, and TensorFlow, and adept at managing complex data scenarios including hard deletes and late-arriving data.

Essential Hard and Soft Skills for a Standout Extract, Transform, Load Engineer Resume
  • Specification Development
  • Report Development
  • ETL Management
  • Configuration Management
  • Best Practices Design
  • Documentation Maintenance
  • Requirement Analysis
  • Data Modeling
  • Technology Implementation
  • Data Pipeline Management
  • Independent Operation
  • Effective Communication
  • Stakeholder Liaison
  • Cross-functional Collaboration
  • Relationship Building
  • Collaboration
  • Problem Solving
  • Agile Methods
  • Project Management
  • Communication

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

1. BA in Computer Science with 6 Years of Experience

  • Experience in an ETL/ELT developer experience.
  • Good verbal and written communication skills, ability to work in a virtual team using zoom or other virtual team communication software.
  • Experience building Data Management solutions on Azure or AWS 
  • Advanced working knowledge of cloud-based data pipeline development.
  • Experience building and optimizing data pipelines for the acquisition and management of data including data security, metadata capture, data cataloging and classification.
  • Working knowledge of message queuing, stream processing and Change Data Capture mechanisms.
  • Experience using the following platforms/technologies: Cloud-based data storage and data pipeline solutions, API development (specifically to connect to SaaS solutions), Hadoop ecosystem of tools (Cloudera Data Hub and Flow Management)
  • Experience using Relational SQL and NoSQL databases, Change Data Capture
  • Data modeling experience using either SAP Power Designer or Erwin tools, Snowflake cloud-based data warehousing platform.
  • Experience using agile development methodology and working within a scrum team.

2. BS in Information Systems with 3 Years of Experience

  • Experience in RDBMS or No SQL Database 
  • Hands of experience in implementation of data warehouse/data migration
  • A good point to hands-on ETL Platform like these technologies: Talend MDM/Informatica/Pentaho/SSIS
  • Experience in large-scale data processing systems, data management, and data flow
  • Excellent analytical and logical thinking to interpret functional requirements and technical requirements in system development and implementation
  • Experience programming in Python and JavaScript
  • Familiarity with running large-scale Data Warehouses or other reporting infrastructure
  • Experience with any of the following: Hadoop, Spark, Tensorflow.
  • Knowledge of Extract-Load processes
  • Experience with hard deletes and late-arriving data

3. BS in Data Science with 5 Years of Experience

  • Good knowledge of ETL from JDE systems (v9.2) 
  • Knowledge of working with other source systems such as SAP is an added advantage. 
  • SQL knowledge (query performance tuning, index maintenance, etc.) as well as a good understanding of database structure. 
  • Thorough understanding of Relational and NoSQL database concepts. 
  • Experience in processing large amounts of data and associated data enrichment activities. 
  • Experience in working with AWS services such as Glue, Redshift, S3, Lambda, RDS, etc 
  • Programming knowledge: Python, Pyspark
  • Ability to pick up and learn new tools quickly 
  • Passionate about working independently in a small team 
  • Good communication and interpersonal skills to work with business and product owners 
  • Self-motivated and able to deliver results in a fast-paced environment
  • Ability to multi-task, ability to troubleshoot problems in real-time and diagnose the root cause.

4. BS in Software Engineering with 2 Years of Experience

  • Experience with data mapping, and the ability to design and develop ETL solutions.
  • Experience with the translation of requirements into data model specifications.
  • Demonstrate the ability to quickly grasp complex subject matter and apply data engineering skills and technical knowledge to assess and provide solutions. 
  • Ability to analytical, result-driven individual with high attention to detail and a strong problem-solving and critical-thinking skills
  • Demonstrate a willingness to assist other team members in areas outside of direct assignments
  • Strong communication skills, a positive attitude, and empathy.
  • Self-awareness and a desire to continually improve.
  • Strong grasp of the Postgres SQL dialect that Snowflake uses
  • Experience with Singer
  • Recent experience with Snowflake or similar cloud data warehouse (Redshift)

5. BA in Business Analytics with 8 Years of Experience

  • SQL Server database development experience and ETL experience 
  • Experience in working with Oracle and Postgres with experience in moving Oracle-based processes to Postgres
  • Advanced SQL knowledge for working with relational data in Oracle and Postgres
  • Advanced programming experience with Python with a focus on working with unstructured data. 
  • Experience programming in a Linux/UNIX environment including shell scripting.
  • Experience with Bash scripts.
  • Advanced experience with ETL processes: Preparing, staging, scheduling, monitoring, and maintaining automated data processes from large disconnected datasets in a production environment.
  • Ability to develop analytical models for structured and unstructured data sets with a focus on data lineage to proactively identify risk areas and identify/catch outliers, trends, and/or projections
  • Experience as well as a focus on DevOps principles such as CI/CD and IaC (Terraform)
  • Working knowledge of message queuing (SNS/SQS/ and stream processing (Kinesis).
  • AWS knowledge as well as eagerness to learn and work within the AWS ecosystem as well as Google Cloud.

6. BA in Computer Science with 5 Years of Experience

  • Experience as a Linux, Unix or CentOS system administrator
  • Hands-on experience with RDMNS, SQL, scripting and coding
  • Intermediate knowledge of coding and scripting using Python, R or shell scripts
  • Extensive experience with SQL, Tableau and ETL techniques
  • Background in Linus and CentOS installation and administration
  • Knowledge of data storage that demonstrates the correct use of a file system, relational database or NoSQL variant
  • Detail-oriented with the ability to effectively prioritize and execute multiple tasks
  • Familiar with JavaScript API, Rest API or Data Extract APIs
  • Experience with data workflow or data preparation platforms, such as Informatica, Pentaho or Talend
  • Knowledge of best practices and IT operations in an always-up, always-available service
  • History of working with data virtualization concepts and software, such as Denodo.

7. BS in Information Systems with 3 Years of Experience

  • Experience in building integration solutions
  • Experience in handling data structures like JSON, XML, CSV, Parquet, RosettaNet, EDI
  • Experience in building integration solutions with various cloud applications like SFDC, Oracle, Workday, AWS, JIRA
  • Working knowledge of at least one programming language such as Python, Java or similar
  • Worked on handling huge data sets for ETL solutions Informatica Developer or Powercenter.
  • Excel in analytics and problem-solving.
  • Experience with SQL or a willingness/aptitude to learn
  • A CS background
  • Experience in a high-growth technology company
  • Experience in the payment space
  • Experience in consulting or finance

8. BS in Data Science with 4 Years of Experience

  • Experience working with structured and unstructured data
  • Experience with at least one programming language
  • Demonstrated experience with computer file management in Windows and UNIX/Linux environment
  • Big Data or ETL experience
  • Experience with script and/or parser development to extract structured and unstructured data from files
  • Experience in the Intelligence Community
  • Experience working in a Customer Facility
  • Proficient analytical, problem-solving, critical thinking and communication skills.
  • Proficient oral, written, and interpersonal skills

9. BS in Software Engineering with 3 Years of Experience

  • Expert level SQL and experience transforming business logic into ETL jobs.
  • Knowledge of Python (or other relevant programming languages).
  • Experience working in the Hadoop ecosystem
  • Experience in transforming and troubleshooting event-based data sources into cleaned and enriched data models.
  • Exceptional analytical skills, lateral thinking and experience in solving challenging problems.
  • Experiences in working with Data Visualisation tools (e.g.Tableau, Metabase) 
  • Fluent in business English
  • Extreme attention to detail and ability to execute tasks with minimal supervision.
  • Organization and multi-tasking skills.

10. BA in Business Analytics with 5 Years of Experience

  • Strong SQL Server experience – stored procedures, performance tuning, advanced queries
  • Data mapping/modeling experience in Informatica Intelligent Cloud Service (IICS) or Microsoft SQL Server Integration Services (SSIS)
  • Experience with agile frameworks and Tableau experience 
  • Collaborative skills working within a project team with diverse skill sets
  • Communication skills including oral, written, and presentation
  • Creativity and problem-solving skills
  • Advanced working knowledge of SQL with OLTP and OLAP Databases 
  • Performance tuning queries with large datasets
  • Experience with ADF Pipelines and Pentaho experience
  • Scripting Knowledge in Powershell and Unix - Mandatory (one of them)
  • Self-starter and undertake Unit/Integration testing with data validations. 
  • Team Player with excellent communication skills with IT teams
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