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