Description

You will design and implement data solutions in large-scale big data and data warehousing environments.

Responsibilities

• Build and maintain data pipelines using PySpark and Python.
• Manage and optimize data workflows within Hadoop ecosystems.
• Execute complex data transformations and queries using SQL and Teradata.
• Schedule and monitor batch processes using Autosys.

Required Skills

• 7+ years of experience in Data Engineering.
• Proficiency with PySpark and Python.
• Extensive experience with Teradata and SQL.
• Hands-on experience with Big Data and Hadoop architectures.
• Strong background in Data Warehousing (DWH) projects.
• Experience managing job scheduling with Autosys.
• Bachelor's degree or equivalent graduate qualification.

Preferred Skills

• Experience with SAS.
• Background in Banking and AML compliance environments.

Key Skills

Education

Any Graduate