Job Openings ETL Engineer - DFT - 08042026

About the job 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