DWS
JavaMicroservicesEngineerData-AVP
Neural analysis suggests this role is
optimal for Senior candidates.
“Java Microservices Engineer Data - AVP at DWS. Skills: Java 21, Spring Boot, microservices, Kafka. Design backend services. Build backend services”
What You'll Achieve.
High-performance backend services; Scalable backend services; Resilient backend services; High-performance services; Scalable services; Resilient services; Reliable message processing; Scalability across distributed components; Resilience across distributed components; Consistency across databases; Scalability across databases; Reliability across databases; Data quality across systems; Data integrity across systems; Maintainable solutions; Testable solutions; Production-ready solutions; Address business challenges; Address data challenges
Industry & Context.
Analytical skills; Debugging skills; Problem solving complex issues
What They're Looking For.
Must Have
Java 21, Spring Boot, microservices architecture, ETL pipelines, Python, SQL, PL/SQL, Kafka, TDD, BDD, clean code, analytical and debugging skills, distributed systems
Nice to Have
cloud‑native architectures, event‑driven design patterns, JVM performance tuning, data ingestion, data transformation, data validation, data loading, enterprise databases, data platforms, schema design, data modelling, indexing strategies, query optimization, database load and stress testing, performance measurement, database configurations, application configurations, data processing, data reconciliation, data monitoring, operational efficiency, data quality, data integrity, automated monitoring mechanisms, maintainable solutions, testable solutions, root causes across application, data layers, infrastructure layers, platform teams, production-ready solutions, business challenges, data challenges
What You'll Do.
Design backend services
Build backend services
Maintain backend services
Architect event-driven systems
Implement event-driven systems
Operate event-driven systems
Operate ETL pipelines
Own database engineering
Plan database load testing
Execute database load testing
Fine-tune configurations
Develop automation scripts
Maintain automation scripts
Ensure data integrity
Implement reconciliation
Implement automated monitoring
Apply engineering best practices
Promote engineering best practices
Diagnose complex issues
Resolve complex issues
Collaborate with architecture teams
Collaborate with platform teams
Collaborate with product teams
How You'll Work.
Team & Collaboration
Work closely with product owners; Work with architects; Work with fellow engineers; Collaborate closely with architecture teams; Collaborate with platform teams; Collaborate with product teams
Full Job Description
## _**Job Description:**_ **Job Title: Java Microservices Engineer Data - AVP** **Location: Bangalore, India** **Corporate Title: AVP** **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. * Pla
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