ETL Engineer - DFT - 08042026

Position

ETL Engineer - Junior

Number of hours

40 hours / week

Schedule

EST

Responsibilities

• Assist in developing and maintaining ETL/ELT data pipelines using tools such as Informatica, Talend, Azure Data Factory, or similar platforms.
• Support the design and implementation of data mappings, transformations, and workflows to integrate data from multiple sources.
• Develop and maintain data extraction, transformation, and loading (ETL/ELT) processes under the guidance of senior engineers.
• Perform unit testing, debugging, and validation of ETL jobs to ensure data quality and accuracy.
• Assist in monitoring scheduled workflows, identifying failures, and resolving basic data integration issues.
• Support data migration, cleansing, and transformation activities for reporting and analytics initiatives.
• Prepare and maintain technical documentation, mapping specifications, and process documentation.
• Collaborate with Data Engineers, BI Developers, Database Administrators, and Business Analysts to support project requirements.
• Follow data governance, security, and ETL development standards.
• Participate in bug fixes, performance improvements, and simple feature enhancements as assigned.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Engineering, or a related field.
• 0–2 years of experience in ETL development, data integration, database development, or a related role.
• Basic understanding of ETL/ELT concepts and data integration principles.
• Familiarity with at least one ETL tool such as Informatica, Talend, Azure Data Factory, SSIS, or similar.
• Basic knowledge of SQL and relational databases (SQL Server, Oracle, PostgreSQL, MySQL, etc.).
• Understanding of data warehousing concepts and database design principles.
• Familiarity with version control tools such as Git is an advantage.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good written and verbal communication skills.
• Ability to work collaboratively under supervision in an Agile development environment.

Preferred Certifications

• AWS Certified Cloud Practitioner
• Microsoft Azure Fundamentals (AZ-900)
• Azure Data Fundamentals (DP-900)
• Informatica Certified Professional (Preferred)
• Talend Data Integration Certification (Preferred)
• Scrum Foundations

Technical Skills

• ETL/ELT Development
• Informatica
• Talend
• Azure Data Factory
• SQL
• Relational Databases
• Data Mapping & Transformation
• Workflow Orchestration
• Data Validation & Testing
• Basic Data Warehousing Concepts
• Git & Version Control
• Technical Documentation
• Agile/Scrum Methodologies