Data Engineer with Python and Abinitio

Design, develop, and maintain scalable batch and near-real-time data pipelines using Python for enterprise data platforms.

Build and support ETL/ELT data processes including extraction, transformation, validation, and loading, with integration into relational databases, data warehouses, APIs, and distributed platforms.

Support and enhance existing Ab Initio applications and workflows, implementing data quality controls and resolving production data issues.

4+ years of experience in data engineering, ETL development, or data integration.

Strong Python programming skills including scripting, OOP, data processing, and automation.

Exposure to Ab Initio tools (GDE, Co>Operating System, EME, Conduct>It) and understanding of Ab Initio graphs and workflows.

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Mid-level data engineer with demonstrated experience integrating Python solutions with Ab Initio environments.

Experienced in developing and optimizing data pipelines and ETL workflows in enterprise or large-scale environments.

Comfortable working collaboratively with cross-functional teams including business analysts, data architects, and developers in Agile settings.