Senior Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making within a financial services context. The Senior Data Engineer will work closely with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.

Key Responsibilities:

Design and develop scalable data pipelines using modern data engineering tools and technologies.
Build and maintain data warehouses and data lakes to support analytical workloads.
Ensure data quality, integrity, and security across all data systems.
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
Optimize data infrastructure for performance and cost-efficiency.
Implement data governance policies and procedures.

Requirements/Qualifications:

Significant experience in data engineering, with a focus on building and maintaining data pipelines.
Strong proficiency in SQL and experience with relational databases.
Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Familiarity with data warehousing concepts and technologies.
Experience with data modeling and ETL processes.
Excellent communication and collaboration skills.
Experience in the BFSI domain is a plus.

About the Company: Capgemini is a global leader in consulting, technology services, and digital transformation. They help organizations navigate their digital journeys and achieve their business objectives through innovative solutions and expertise.