AVP – Data Engineer

Deutsche Bank AG; Karnataka; In loco; INR 4.000.000 - 7.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Best-in-class leave policy

Childcare assistance sponsorship

Certifications and education reimburse

Employee Assistance Program

Descrizione del lavoro

Deutsche Bank AG in Bengaluru (Bangalore) seeks an AVP – Data Engineer to design, develop, and support enterprise-scale data solutions across Asset Management. You will build scalable data pipelines for market, trade, and reference data, leveraging Snowflake, Python, PL/SQL, and Kafka, while ensuring reliability and regulatory compliance.

You will collaborate with portfolio management, operations, risk, and technology teams to deliver high-performance data platforms and drive cloud

Competenze

• Proficient PL/SQL development with tuning.
• Advanced Python for data ingestion, validation and automation.
• Shell/Perl scripting for automation and ops.
• Experience with Snowflake Data Cloud and data shares.
• Kafka-based event-driven integration experience.

Mansioni

• Design, develop and maintain scalable data pipelines for market, trade, position, and reference data.
• Develop PL/SQL programs, DB procedures and performance tuning solutions.
• Build Python-based data integration/ transformation frameworks.
• Design ELT/ETL processes for large-scale financial data platforms.
• Support data ingestion via data shares and Snowflake environments.
• Integrate data from vendors, custodians, and internal apps.

Conoscenze

PL/SQL development & tuning

Advanced Python

Shell/Perl scripting

Snowflake Data Cloud

Kafka event-driven

ETL/ELT frameworks

Control-M/AutoSys

SQL & relational DB

Strumenti

Snowflake

Kafka

Control-M

AutoSys

Descrizione del lavoro

Job Description:Job Title: AVP – Data EngineerLocation: Bangalore, IndiaRole DescriptionWe 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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy,Best in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour key responsibilitiesDesign, 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.Your skills and experienceMandatory SkillsTechnical SkillsStrong 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.Asset Management Domain KnowledgeGood understanding of the Asset Management industry.Experience with:EquitiesFixed IncomeDerivativesMutual Funds / ETFsAlternative Investments (desirable)Hands-on experience with:Trade DataPosition DataSecurity Master DataMarket Data FeedsInvestment Reference DataGood to HaveMicroservices 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.Experience8-12 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, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.How we’ll support youTraining and development to help you excel in your career.Coaching and support from experts in your team.A culture of continuous learning to aid progression.A range of flexible benefits that you can tailor to suit your needs.About us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.