Data Engineer

• We are seeking an experienced Assistant Vice President (AVP) to join our Asset management Data Engineering team. The successful candidate will be responsible for designing, developing, and supporting enterprise-scale data solutions that manage market data, security master data, trade data, position data, and investment analytics workloads across the Asset Management landscape.

• The role requires strong technical expertise across data engineering, cloud data platforms like Snowflake and production support, combined with a solid understanding of financial instruments and investment management processes. The individual will collaborate with portfolio management, investment operations, risk, compliance, and technology teams to deliver scalable, reliable, and high-performance data solutions.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

• Best in class leave policy.

• Gender neutral parental leaves

• 100% reimbursement under childcare assistance benefit (gender neutral)

• Sponsorship for Industry relevant certifications and education

• Employee Assistance Program for you and your family members

• Comprehensive Hospitalization Insurance for you and your dependents

• Accident and Term life Insurance

• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Design, develop, and maintain scalable data pipelines for market, trade, position, and reference data processing.

• Develop complex PL/SQL programs, database procedures, and performance tuning solutions.

• Build and maintain Python-based data integration and transformation frameworks.

• Develop Shell and/or Perl scripts to support automation, operational controls, and platform maintenance.

• Design ETL/ELT processes supporting large-scale financial data platforms.

• Facilitate ingestion via data shares and transformation of data into Snowflake-based data environments.

• Integrate data from external market data vendors, custodians, brokers, and internal applications.

• Design and support Kafka-based event-driven integration solutions.

• Implement data quality, reconciliation, and monitoring controls across critical data flows.

• Support enterprise scheduling using Control-M and/or AutoSys.

• Drive improvements in scalability, resilience, observability, and operational efficiency.

• Provide L3 support for critical production applications and data services.

• Lead root cause analysis and problem management activities.

• Support audit, compliance, and regulatory requirements relating to financial data.

• Ensure adherence to SDLC, release management, change management, and operational controls.

• Participate in disaster recovery, resilience, and operational readiness activities.

• Partner with business stakeholders across Investment Management, Operations, Risk, and Compliance.

• Support strategic data platform modernization initiatives and cloud transformation programs.

  • Contribute to technical roadmaps and architecture decisions.