Seeking an experienced Data Engineering Lead with a strong background in Ab Initio and SQL ETL development. This role involves designing, building, and maintaining robust data solutions.

Key responsibilities include creating scalable and reusable data ingestion, transformation, and integration processes. You will develop and optimize ETL workflows, ensuring data quality and efficient processing.

This is an opportunity to work with complex data environments and contribute to critical data initiatives within a leading organization.

Lead the design, development, and maintenance of complex ETL workflows utilizing Ab Initio.

Build scalable, reusable data ingestion, transformation, and integration solutions.

Develop and optimize graph-based ETL processes, reusable components, and metadata-driven frameworks.

Execute data extraction, transformation, cleansing, validation, and loading activities.

Troubleshoot and resolve production ETL issues effectively.

Develop complex SQL queries, stored procedures, views, and performance-tuned database objects.

Perform data analysis, profiling, and reconciliation.

Optimize SQL code for high-volume data processing and support data quality initiatives.

Requires 6-8 years of experience in Data Engineering and ETL Development.

Essential hands-on expertise includes Ab Initio GDE, Ab Initio Co>Operating System, Continuous Flows, Parallel Processing Concepts, Components and Graph Development, Data Conversion and Validation Frameworks, and ETL Design and Development.

Proficiency in developing complex SQL queries, stored procedures, views, and performance-tuned database objects is crucial.

Experience with data analysis, profiling, reconciliation, and SQL optimization for high-volume data is required. Familiarity with data quality and validation efforts is also expected.