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 [Confidential Information] with your updated resume.
NOTE: - Only shortlisted candidates will be contacted back.
Thanks & Regards
Deeksha Agarwal
EA Licence No.91C2918
Personnel Registration No. R26161520
