21 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain scalable data pipelines for market, trade, position, reference, and security master data.
- Develop complex PL/SQL programs, database procedures, performance tuning solutions, and Python-based ingestion, transformation, validation, reconciliation, automation, and enrichment frameworks.
- Create Shell and/or Perl scripts for automation, operational controls, and platform maintenance.
- Design and support ETL/ELT processes and Snowflake-based data environments, including data-share ingestion and transformations.
- Integrate data from market data vendors, custodians, brokers, and internal applications.
- Design and support Kafka-based event-driven integration solutions.
- Implement data quality, reconciliation, monitoring, observability, resilience, and operational efficiency controls.
- Support enterprise scheduling with Control-M and/or AutoSys.
- Provide L3 support for critical production applications and data services and lead root cause analysis and problem management.
- Support audit, compliance, regulatory, release, change management, SDLC, disaster recovery, resilience, and operational readiness activities.
- Partner with Investment Management, Operations, Risk, Compliance, and Technology stakeholders.
- Contribute to data platform modernization, cloud transformation initiatives, technical roadmaps, and architecture decisions.
Requirements
- 8–12 years of technology experience.
- At least 5 years of experience in Financial Services, Asset Management, or Capital Markets.
- Strong PL/SQL development, database performance tuning, SQL, and relational database expertise.
- Advanced Python programming skills for data ingestion, validation, reconciliation, automation, and enrichment.
- Strong Shell scripting and/or Perl scripting experience.
- Experience with Snowflake Data Cloud, data shares, ETL, data integration, and data processing frameworks.
- Experience with Control-M or AutoSys enterprise scheduling tools.
- Experience with Kafka and event-driven architectures.
- Experience supporting mission-critical production environments and delivering enterprise-scale data engineering solutions.
- Good understanding of the Asset Management industry and experience with equities, fixed income, derivatives, mutual funds or ETFs, and investment data.
- Hands-on experience with trade data, position data, security master data, market data feeds, and investment reference data.
- Microservices development experience is desirable.
- Experience with cloud platforms, preferably Azure, monitoring and observability tools, distributed application architectures, modern data platforms, and streaming architectures is desirable.
- Experience working in Agile delivery environments.
- Ability to use AI tools to improve productivity and workflows while applying critical judgment for responsible and ethical use of data and AI outputs.
Benefits
- Best-in-class leave policy.
- Gender-neutral parental leave and 100% reimbursement under the gender-neutral childcare assistance benefit.
- Sponsorship for industry-relevant certifications and education.
- Employee Assistance Program for employees and family members.
- Comprehensive hospitalization insurance for employees and dependents.
- Accident and term life insurance.
- Complementary health screening for employees aged 35 and above.
- Training and development, coaching, expert support, continuous learning, and flexible benefits that can be tailored to individual needs.
- Flexible benefits scheme; the posting does not state a specific remote, hybrid, or office arrangement.
Tech Stack
Categories
Data Engineering
About DWS Group
DWS Group is a global asset manager that provides active, passive (Xtrackers ETFs), and alternative investment products for institutions, financial intermediaries, and individual investors. It earns management and performance fees across mutual funds and bespoke mandates, managing over €1 trillion in assets. Founded in 1956 and headquartered in Frankfurt, DWS is publicly listed in Germany and remains majority-owned by Deutsche Bank.