Data Engineer--Scala development

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 Overview:  

As a Scala Developer in our team, you work with large scale manufacturing data coming from our globally distributed plants. You will focus on building efficient, scalable & data-driven applications that – among other use cases – connect IoT devices, pre-process, standardize or enrich data, feed ML models or generate alerts for shopfloor operators.

The data sets produced by these applications – whether data streams or data at rest – need to be highly available, reliable, consistent and quality-assured so that they can serve as input to downstream applications such as shopfloor reporting, alerting apps, ML apps / models and a wide range of users spanning analysis and data scientists.

We run these applications on a Kubernetes based, edge data platform in our plants. The platform is currently in ramp-up phase, so apart from building applications, you will also contribute to scaling the platform including topics such as automation and observability.

Finally, you are expected to interact with customers and other technical teams e.g. for requirements clarification & definition of data models.

Primary responsibilities:                                             

·      

• Develop, deploy and operate data processing applications running on Kubernetes written in Scala (we leverage Kafka for messaging, Spark, KStreams and ZIO for data processing, PostgreSQL and S3 for storage)
• Contribute to ramp-up of our edge data processing platform incl. topics such as deployment automation, building CI/CD pipelines (we use Github Actions + ArgoCD) and evaluation of platform extensions
• Discuss requirements with stakeholders such as customers or up- and downstream development teams
• Derive design proposals incl. meaningful data models
• Engage in design discussions with team members, architects & technical leadership
• Review code contributed by other team members
• Depending on experience, mentor junior team members

Qualifications

• Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent
• 3-5 years of experience in data engineering and / or backend development

Key Competencies-

• Experience developing software in a JVM-based language. Scala preferred, but Java, Kotlin or Clojure also accepted.
• Experience with data-driven backend software development
• Experience with object-oriented & functional programming principles
• Deep level of understanding in distributed systems for data storage and processing (e.g. Kafka ecosystem, Spark, Flink, HDFS, S3)
• Experience with RDBMS (e.g. Postgres)
• (optional) prior experience with functional stream processing libraries such as fs2, zio-streams or akka streams
• Excellent software engineering skills (i.e., data structures & algorithms, software design)
• Excellent problem-solving, investigative, and troubleshooting skills
• Experience with CI/CD tools such as Jenkins or Github Actions
• Comfortable with Linux and scripting languages for workflow automation

Soft Skills:

Ø   Good Communication Skills

Ø  Ability to use extensively the latest IT communication tools

 ( Skype /MS TEAMS etc.)

Ø  Decent Level in English as Business Languagew