Senior Data Engineer at Bosch Group

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

2800000.0

Posted On

03 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Java, Spark, Databricks, Kafka, Distributed Systems, REST APIs, PostgreSQL, Data Modeling, CI/CD, Kubernetes, Flink, JVM Tuning, Dimensional Modeling, Data Vault, Event-Driven Architecture

Industry

Software Development

Description

Company Description The Bosch Group is a leading global supplier of technology and services, in the areas of Automotive Technology, Industrial Technology, Consumer Goods, Energy and Building Technology. In India, the Group operates through nine companies with a combined strength of over 30,000 associates which includes around 14,000 research and development associates. Bosch Automotive Electronics India Pvt. Ltd. (RBAI) is a 100% subsidiary of Robert Bosch GmbH. RBAI was established at the right time to cater to the demands of future Indian market. Established in 2009, started out with manufacturing Electronic Control Units. On an average adding one new product every year, Antenna and Immobilizer in 2011, wide range of BCM's since 2012, Electronic power steering control units from 2013, and Voltage regulator in 2014. Over the last 7 years of its existence, the company has grown over 44% CAGR, which is remarkable considering it was established during the peak of recession. The product portfolio of Bosch Automotive Electronics Pvt. Ltd. is into both Automotive and Non-Automotive Business catering to local as well as global demands. The products from RBAI fulfils 94% of the local demand. Apart from this, 72% of our sales are towards exports covering most of the global market. We invite promising and dynamic professionals for a long-term and rewarding career with Bosch. Job Description Design and deliver robust, production-grade data-intensive applications and services that power business-critical use cases at scale. This role combines strong software engineering fundamentals with deep data engineering expertise and technical leadership. Qualifications Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent; Master’s degree preferred. Additional Information Roles & Responsibility: Design end-to-end systems (ingestion, processing, storage, serving) with minimal supervision. Build and maintain high-quality data products and pipelines on Spark and Databricks. Design event-driven architectures using Kafka and related technologies for real-time data processing. Build backend services and APIs that expose data capabilities reliably and securely. Build and optimize data models for analytical workloads (for example, dimensional modeling, data vault) Write clean, testable, and maintainable software in Scala (preferred) or Java. Drive architecture and design discussions with engineers, architects, and stakeholders. Coach and mentor junior engineers through code reviews, design sessions, and hands-on pairing. Improve engineering standards across testing, observability, CI/CD, reliability, and documentation. Deliver production-quality software with strong automated test coverage and clear quality gates. Use design reviews and lightweight ADR-style documentation for major technical decisions. Build observability into systems from day one (logs, metrics, tracing, alerts). Deliver through CI/CD with safe release and rollback strategies. Skills 6+ years of professional software engineering experience, including substantial backend and data platform work. Strong programming background in Scala or Java (Scala preferred). Proven experience building distributed data pipelines with Spark and Databricks. Hands-on experience with Kafka in production systems. Strong understanding of distributed systems concepts and failure handling. Solid experience designing and developing APIs (REST and/or event-driven service interfaces). Strong knowledge of relational databases (for example PostgreSQL), data modeling, and query optimization. Demonstrated ability to design high-performance, concurrent systems. Experience leading technical design and architecture decisions across teams. Experience mentoring or coaching junior engineers. Good To Have: Practical experience with Flink and advanced stream processing patterns. Experience with cloud-native data platforms and infrastructure-as-code. Experience with building & deploying applications on Kubernetes Experience with data governance, security, and compliance in data platforms. Familiarity with table formats and query engines in modern lakehouse ecosystems. Experience with performance profiling and JVM tuning. Collaboration Scope: Partner with product, platform, and domain teams to translate requirements into resilient technical solutions. Work closely with architects and technical leadership to shape platform direction. Support incident response and root-cause analysis for critical production issues. Help define roadmaps that align business priorities with engineering sustainability. Legal Entity: Bosch Automotive Electronics India Private Ltd. Compensation: INR 2400000 - INR 2800000 - yearly

Responsibilities

Design and deliver production-grade, data-intensive applications and end-to-end pipelines using Spark, Databricks, and Kafka. Lead technical architecture discussions and mentor junior engineers to improve engineering standards and observability.