The Team

The team handles applications responsible for risk data collection, data integration, credit risk calculation and monitoring for the bank worldwide. All applications are in-house developments, giving you the opportunity to shape systems from the ground up.

The Opportunity

Join our 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 the global operations. This platform is the backbone of our risk management infrastructure, delivering real-time insights to senior management and regulatory bodies worldwide.

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

8+ 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)

Thanks,

Saghana Sithara

BusinessManager, Recruitment| Quess Selection & Services, Singapore

EA LicenseNumber: 23C2060 Registration ID is R1550224

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This is in partnership with the Employment andEmployability Institute Pte Ltd (e2i).

e2i is the empowering network for workers andemployers seeking employment and employability solutions. e2i serves as abridge between workers and employers, connecting with workers to offer jobsecurity through job-matching, career guidance and skills upgrading services,and partnering employers to address their manpower needs through recruitment,training, and job redesign solutions. e2i is a tripartite initiative of theNational Trades Union Congress set up to support nation-wide manpower andskills upgrading initiatives. By applying for this role, you consentto Quesscorp Singapore's PDPA and e2i's PDPA.

Senior Data Engineer (Contract)