Informatica Data Engineer – Data Integration

An experienced Informatica Data Engineer - Data Integration role responsible for developing and supporting data integration and data warehousing solutions, ensuring reliable data processing, scheduling, and delivery across enterprise systems.

Key responsibilities

Develop, maintain, and support ETL/data integration workflows using Informatica and DataStage.

Design and develop data warehousing solutions using Snowflake and dbt.

Create and maintain ETL mappings, workflows, transformations, and data pipelines.

Schedule, monitor, and troubleshoot batch processes using Control-M.

Develop and maintain UNIX shell scripts for data processing and automation.

Perform data validation, reconciliation, and troubleshooting to ensure data accuracy and quality.

Work with technical and business teams to understand data requirements and translate them into scalable data solutions.

Investigate and resolve data integration, ETL, and batch processing issues.

Support production deployments, monitoring, and incident resolution.

Prepare and maintain technical documentation for data integration and data warehouse processes.

About you

4+ years of relevant experience in Data Engineering, ETL, Data Integration, or Data Warehousing.

Strong hands-on experience developing ETL solutions using Informatica and/or DataStage.

Solid experience developing data warehousing applications using Snowflake and dbt.

Experience with enterprise scheduling tools, particularly Control-M.

Good knowledge of UNIX/Linux scripting.

Experience with Python for data processing or automation is an advantage.

Strong troubleshooting and analytical skills.

Good communication and collaboration skills.