Description

You will build and maintain scalable data pipelines for large-scale data processing in the banking domain.

This role is on-site.

Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark for structured and unstructured data.
• Develop and manage ETL/ELT workflows using Informatica BDM for enterprise data integration.
• Optimize data processing jobs for performance and reliability while implementing data quality processes.
• Integrate data from various sources, including databases, APIs, and enterprise systems.
• Collaborate with architects, analysts, and stakeholders to translate data requirements into technical solutions.

Required Skills

• 6+ years of experience in Data Engineering or related roles.
• Strong, hands-on experience with PySpark for large-scale data processing.
• Mandatory experience in the Banking or Financial Services domain.
• Proficiency in Python and SQL for data manipulation.
• Experience with ETL Development and Big Data Technologies.
• Expertise in Data Modeling principles.
• Familiarity with Informatica BDM.
• Understanding of data governance and regulatory requirements in banking.

Preferred Skills

• Experience with data governance frameworks in regulated environments.

Key Skills

Education

Any Graduate