Description

Build and maintain scalable data pipelines and products for analytics and data science teams.

This role is hybrid.

Responsibilities

• Design, build, and integrate data pipelines for large-scale data processing.
• Create, load, transform, and cleanse structured and unstructured datasets.
• Optimize data structures and models for analytics consumption.
• Integrate and manage datasets from multiple internal and external sources.
• Provide on-call support to ensure data accuracy and confidentiality.

Required Skills

• 4–6 years of experience with a Bachelor’s degree (or Master’s in related field).
• Strong programming proficiency in Python and SQL.
• Hands-on experience with AWS services (Athena, Glue, or SageMaker).
• Experience with Informatica for data integration.
• Proficiency with GitHub for version control.
• Experience with ERWIN data modeling and data modeling techniques.
• Knowledge of business intelligence and reporting tools.

Preferred Skills

• Experience in financial services products and processes.
• Familiarity with data visualization and analytics platforms.

Key Skills

Education

Any Graduate