Description

You will build and maintain code-based data pipelines to support financial services data requirements.

This role is on-site.

Responsibilities

• Develop code-based ETL/ELT data pipelines with optimized data modeling.
• Craft intricate SQL queries and Data Definition Language (DDL) scripts.
• Perform data formatting, wrangling, and preparation tasks.
• Implement data warehousing concepts, including denormalization and extensive views for reporting.
• Support analytics through structured data modeling and preparation.

Required Skills

• 10+ years of experience in data engineering.
• Proficiency in Python.
• Expertise in SQL and DDL.
• Experience building ETL/ELT data pipelines.
• Strong knowledge of data warehousing and modeling techniques.
• Experience with data formatting and wrangling.
• Background in banking or financial services data environments.

Preferred Skills

• Ability to manage denormalization and reporting views.

Key Skills

Education

Any Graduate