Description

You will design and implement data warehousing solutions using Big Data technologies, including developing pipelines and optimizing Teradata environments.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines using PySpark and Python.
• Manage and optimize Teradata data warehouse environments.
• Implement scheduled workflows using AutoSys.
• Write and optimize complex SQL queries for data retrieval and transformation.
• Deliver rapid solutions for big data and warehousing projects.

Required Skills

• 7+ years of experience as a Data Engineer.
• Proficiency with Big Data and Hadoop ecosystems.
• Strong experience in data warehousing architecture and implementation.
• Hands-on expertise with PySpark and Python.
• Deep knowledge of Teradata.
• Advanced SQL skills.
• Familiarity with AutoSys job scheduling.

Preferred Skills

• Experience with SAS.
• Exposure to Banking and AML compliance domains.

Key Skills

Education

Any Graduate