Data Engineer

Role:  Data Engineer

Experience:

4–12 Years
Domain:  Banking / Financial Services

Location:

Hybrid (Gurugram)

Job Summary
We are seeking an experienced Data Engineer with strong expertise in Google Cloud Platform (GCP), SQL, and large-scale data engineering solutions within the Banking and Financial Services domain. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms that support analytics, reporting, regulatory, and business intelligence initiatives.

Key Responsibilities
Design, develop, and optimize scalable data pipelines for batch and real-time processing.
Build and maintain enterprise data platforms on GCP.
Develop robust ETL/ELT workflows to ingest, transform, and load data from multiple banking systems.
Collaborate with business, analytics, data science, and technology teams to understand data requirements.
Implement data quality, validation, reconciliation, and monitoring processes.
Optimize SQL queries and database performance for large datasets.
Support cloud migration and modernization initiatives.
Ensure compliance with banking security, governance, and regulatory standards.
Troubleshoot data issues and provide production support.

Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
6–12 years of overall IT experience.
Strong experience in Data Engineering and Cloud Data Platforms.
Experience delivering enterprise-scale data solutions in Banking or Financial Services.