Description

You own end-to-end data engineering solutions for the Enterprise Data Warehouse.

This role is hybrid.

Responsibilities

• Architect and lead the development of complex data integration pipelines for EDW, ODS, and Data Marts.
• Ensure compliance with data governance, privacy, and security standards across all data assets.
• Lead impact analysis, design reviews, and release management for data engineering projects.
• Own performance optimization of ETL pipelines, SQL queries, and database objects.
• Mentor junior engineers and drive adoption of cloud-based solutions and workflow automation.

Required Skills

• 7+ years of experience in data engineering.
• Strong expertise in ETL tools including BODS and Informatica IICS.
• Expert proficiency in SQL with Oracle, Netezza, or Teradata.
• Hands-on experience in data architecture and modeling (Dimensional & Relational).
• Advanced performance tuning for large-scale pipelines and database objects.
• Familiarity with cloud data platforms: Snowflake, AWS, BigQuery, and Redshift.
• Excellent stakeholder engagement and problem-solving abilities.

Preferred Skills

• Experience mentoring junior engineers in a lead capacity.
• Proven track record of driving adoption of new cloud technologies.

Key Skills

Education

Any Graduate