Description

Lead enterprise-wide data integration by designing and implementing large-scale data pipelines for on-prem and cloud environments.

Manage the end-to-end lifecycle of data engineering activities from inception to implementation.

Responsibilities

• Design technical solutions including code, scripts, and data pipelines for data lake and warehouse integration.
• Develop and document ETL/ELT technical best practices.
• Oversee code development, unit testing, and performance testing to align with business objectives.
• Validate data at intermediate stages between source and destination to ensure operational readiness.

Required Skills

• 4+ years of experience in data engineering and ETL development.
• Hands-on experience with DataStage ETL development.
• Proficiency in Informatica Cloud Integration Service (IICS) ETL development.
• Experience with Snowflake development and Snowpipe.
• Strong PL/SQL and SQL expertise.
• Experience creating GitHub workflows.
• Proficiency with Python.
• Experience working with large-scale data environments.

Preferred Skills

• Familiarity with Tidal, Jira, and Power BI.

Key Skills

Education

Bachelor's degree