The Opportunity

Join the team as a Senior Data Engineer for the bank's flagship risk data and reporting platform. You'll build and optimize data pipelines that process millions of records daily, managing terabytes of data that power critical risk calculations and regulatory reporting across organization's global operations.

What You'll Do

Design and develop the robust data solutions on SQL Server, ensuring optimal performance through advanced query optimization, indexing strategies, and partition management
Design and optimize large-scale ETL pipelines using Apache Spark to process high-volume data from diverse sources across the bank
Ensure data quality and reliability across the platform through comprehensive validation frameworks and proactive monitoring
Collaborate with analytics teams using SAP BusinessObjects and other systems to deliver regulatory reports and business intelligence
Drive continuous improvement by evaluating and adopting emerging technologies and best practices in big data engineering
Troubleshoot and resolve complex data pipeline issues, performance bottlenecks, and system failures

Required Qualifications

7+ years of data engineering experience, preferably in financial services or high-volume data environments

Advanced SQL Server expertise including:

Query optimization, execution plan analysis, and performance tuning
Index design, maintenance, and partitioning strategies for large tables
Deadlock analysis, resolution, and troubleshooting
Database design, normalization, and experience managing large-scale databases (multi-TB environments)
Solid understanding of data engineering principles: data modeling, ETL best practices, and data quality frameworks
Java/J2EE development skills for building scalable data applications.
Good to have the proficiency with Apache Spark : (DataFrames, RDDs, Spark SQL) for building and optimizing production-grade ETL pipelines that handle large-scale distributed data processing

Preferred Qualifications

Experience with SAP BusinessObjects and reporting tools
Background in banking, risk management, or regulatory reporting
Familiarity with data governance and quality frameworks
Knowledge of cloud platforms (AWS, Azure, or GCP)

Why This Role Stands Out

High Impact: Your work directly influences strategic risk decisions and regulatory compliance for a top-tier global bank
Technical Challenge: Handle petabyte-scale datasets using cutting-edge big data technologies in a complex, mission-critical environment
Career Growth: High-visibility role with clear advancement paths in a strategic function that's central to the bank's operations
Innovation: Shape the future of risk analytics by introducing new technologies, methodologies, and architectural patterns
Collaboration: Work with cross-functional teams spanning data engineering, risk analytics, business intelligence, and senior stakeholders across global offices
Stability & Reputation: Join one of the world's most established financial institutions with a strong commitment to technology excellence

If interested, you can click on Apply here or write an e-mail to [HIDDEN TEXT] with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Thanks & Regards

Deeksha Agarwal

EA Licence No.91C2918

Personnel Registration No. R26161520