Java Microservices Engineer Data – VP

Deutsche BankVisit website ↗·Posted 4 days ago

Location

MH, IN

Required Skills

PythonJavaSQLMicroservicesExcel

About the Role

Job Description: -------------------- Job Title: Java Microservices Engineer Data – VP Location: Pune, India Corporate Title: VP
Role Description

• We are seeking a Senior Java Engineer to take ownership of backend systems and contribute to the design and evolution of scalable , on-premises and cloud‑native architectures . In this role, you will help define technical direction, build resilient and high‑performance services, and promote engineering excellence across performance, security, testing, and reliability.

• You will work closely with product owners, architects, and fellow engineers to solve complex business problems using modern Java technologies and event‑driven design patterns.

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, build, and maintain high‑performance backend services using Java 21 and Spring Boot, taking ownership of concurrency, memory management, and JVM performance tuning in enterprise‑scale systems.

• Architect, implement, and operate event‑driven systems using Kafka, ensuring reliable message processing, scalability, and resilience across distributed components.

• Design, build, and operate end‑to‑end ETL pipelines, including data ingestion, transformation, validation, and loading across enterprise databases and data platforms.

• Own database engineering activities, including schema design, data modelling, indexing strategies, and query optimization to ensure consistency, scalability, and reliability.

• Plan and execute database load and stress testing, continuously measure performance, identify bottlenecks, and fine‑tune database and application configurations.

• Develop and maintain complex scripts and automation using Python, SQL, and PL/SQL to support data processing, reconciliation, monitoring, performance measurement, and operational efficiency.

• Ensure data quality and integrity across systems by implementing validation, reconciliation, and automated monitoring mechanisms.

• Apply and promote engineering best practices, including TDD, BDD, clean code, and code reviews, to ensure maintainable and testable solutions.

• Diagnose and resolve complex issues in distributed systems, using strong analytical and debugging skills to identify root causes across application, data, and infrastructure layers.

• Collaborate closely with architecture, platform, and product teams to deliver scalable, secure, and production‑ready solutions that address real business and data challenges.

Your skills and experience

• Expertlevel proficiency in Java 21, including concurrency, memory management, and performance tuning including deep experience with Spring Boot and microservices architecture

• Design, build, and operate end‑to‑end ETL pipelines, including data ingestion, transformation, validation, and loading across enterprise databases and data platforms.

• Set up and optimize databases, data modelling and indexing strategies, perform load and stress testing, and continuously measure and tune database performance for scalability and reliability.

• Develop complex scripts and automation using Python and SQL/PL‑SQL to support data processing, reconciliation, monitoring, performance measurement, and operational efficiency.

• Strong hands-on experience designing event driven systems with Kafka

• Strong advocate for TDD, BDD, clean code, and engineering best practices

• Excellent analytical and debugging skills, particularly in distributed systems

How we’ll support you

• Training 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 teams Please visit our company website for further information:

https://www.db.com/company/company.html

We 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.

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Ideal Candidate

A senior backend engineer with 10+ years of Java expertise who has architected production Kafka systems and owned end-to-end ETL pipelines in financial or data-heavy environments.

Estimated Salary Range(medium confidence)

₹35 L – ₹55 L per year

Likely Interview Questions

1.Walk us through a complex distributed system you architected using Kafka—what were the failure scenarios you designed for, and how did you handle exactly-once semantics across services?
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