Description

You will design, develop, and maintain ETL workflows that integrate Teradata data into Databricks on AWS. You optimize Teradata queries and data loading strategies to improve scalability and throughput. You build and maintain data pipelines and scheduled jobs in Databricks for distributed data processing. You develop complex SQL logic, including stored procedures and reusable query components. You apply AI/ML and agentic AI approaches to support data-driven automation and intelligent workflows.

This role is on-site.

Responsibilities

• Design and maintain ETL workflows integrating Teradata data into Databricks on AWS.
• Optimize Teradata queries and data loading strategies to improve scalability and throughput.
• Build and maintain data pipelines and scheduled jobs in Databricks for distributed data processing.
• Develop and maintain complex SQL logic, including stored procedures and reusable query components.
• Apply AI/ML and agentic AI approaches to support data-driven automation and intelligent workflows.

Required Skills

• 8+ years of relevant experience in data engineering or AI/ML.
• Strong proficiency in AWS for data infrastructure and services.
• Expertise in Python for data engineering within Databricks.
• Advanced SQL skills for complex queries and Teradata development.
• Experience with Databricks for distributed data processing (Apache Spark).
• Practical knowledge of ETL processes and Teradata systems.

Preferred Skills

• Experience with Agentic AI and AI/ML frameworks.

Key Skills

Education

Any Graduate