AVP – Data Engineer

Overview

Assistant Vice President (AVP) Data Engineer on DWS's Asset Management Data Engineering team, designing, developing and supporting enterprise-scale data solutions for market, security master, trade, position and investment analytics data.

What you'll do

• 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.

What you'll need

• Strong PL/SQL development and database performance tuning experience.
• Advanced Python programming skills (data ingestion, validation and recon, automation and enrichment).
• Strong Shell Scripting and/or Perl Scripting experience.
• Experience with Snowflake Data Cloud and data shares.
• Strong knowledge of ETL, data integration and data processing frameworks.
• Experience with enterprise scheduling tools such as Control-M or AutoSys.
• Experience working with Kafka and event-driven architectures.
• Strong SQL and relational database expertise.
• Experience supporting mission-critical production environments.
• Good understanding of the Asset Management industry.
• Experience with Equities, Fixed Income, Derivatives and Mutual Funds / ETFs.
• Hands-on experience with Trade Data, Position Data, Security Master Data, Market Data Feeds and Investment Reference Data.
• 8-12 years of technology experience.
• 5+ years in Financial Services, Asset Management or Capital Markets.
• Demonstrated experience delivering enterprise-scale data engineering solutions.
• Experience working in Agile delivery environments.
• Proven ability to leverage AI tools to enhance productivity and optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Nice to have

• Experience with Alternative Investments.
• Microservices development experience.
• Experience with cloud platforms (Azure preferred).
• Experience with monitoring and observability tools.
• Understanding of distributed application architectures.
• Knowledge of modern data platform technologies and streaming architectures.

Details

• Location: Bangalore, India.