Description

You will own the design and migration of data assets from on-premises systems like IBM Datastage, Informatica, and Netezza to cloud platforms including AWS S3 and Snowflake. You build and maintain ELT transformations using dbt and Python, ensuring data integrity and performance.

Responsibilities

• Develop and manage robust data pipelines supporting CI/CD workflows.
• Collaborate with project and business analysts to define technical requirements and perform logical and physical data modeling.
• Migrate legacy ETL assets from Datastage/Informatica to modern cloud-based solutions.
• Write, test, and debug dbt macros and Python scripts for ETL/ELT processes.

Required Skills

• 10+ years of experience in data engineering roles.
• Deep expertise with Snowflake and AWS S3.
• Proficiency in dbt (Data Build Tool) for transformation logic.
• Strong Python skills for data scripting and automation.
• Experience with IBM Datastage and Informatica for legacy migration.
• Solid understanding of ETL/ELT architectures and data modeling.
• Familiarity with Continuous Deployment practices for data pipelines.

Key Skills

Education

Any Gradute