Description

You will lead teams in developing, maintaining, and enhancing code within an Enterprise Data Warehouse environment.

Responsibilities

• Translate requirements and data mapping documents into technical designs.
• Develop, enhance, and maintain code following established best practices and standards.
• Create and execute unit test plans and support regression and system testing efforts.
• Debug and resolve issues identified during testing or in production.
• Coordinate with offshore teams and clients to drive deliverables and communicate status, issues, or blockers.

Required Skills

• 10+ years of total professional experience.
• 3+ years of experience in a Lead role.
• 5+ years of experience in ETL development within a Data Warehouse.
• Extensive experience with SQL, Python, and PySpark.
• Hands-on expertise with Snowflake and DataStage ETL.
• Experience with AWS services, specifically Glue.
• Proficiency with CI/CD tools including Jenkins and GitHub.
• Proven experience with cloud migration on public clouds such as AWS or Azure.
• Deep understanding of enterprise data warehousing best practices and standards.
• Knowledge of cybersecurity practices, risk management, and incident response methodologies.

Preferred Skills

• Experience in the financial services or banking industry.
• Experience defining future state roadmaps for data warehouse applications.
• AWS Certified Solutions Architect or AWS Certified DevOps Engineer certifications.

Key Skills

Education

Any Graduate