Data Platform Engineer

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.

We are looking for Platform Automation Engineer to join our dynamic technology team and drive automation for Azure based data platform. As a You will be responsible for designing, building, and maintaining robust and scalable data platforms enabling self-service, CI/CD, and job orchestration for Databricks and related Azure services. You will work closely with data analysts, and software engineers to ensure seamless data flow, high data quality, and optimal performance across our data infrastructure.

Primary responsibilities: ·

• Design, build, and maintain scalable data platforms.
• Automate deployment and configuration of Azure Databricks workspaces, clusters, jobs, notebooks, secrets, and other components using Terraform, Azure CLI, or REST APIs.
• Automate data workflows and support CI/CD pipelines for deployment of notebooks, libraries, and jobs.
• Enable monitoring, alerting, and logging for Databricks workloads using Log Analytics, Azure Monitor, and audit logs.
• Implement security best practices including Unity Catalog, secret management, and networking controls.
• Collaborate with platform, DevOps, and data engineering teams to enable self-service capabilities.
• Monitor, troubleshoot, and ensure data system reliability.

• Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent; Master’s degree preferred.

Skills

• Hands-on experience with Azure Databricks, Databricks Unity Catalog, jobs, clusters, REST APIs, and workspace management
• Proficiency in IAC using Terraform and Databricks components.
• Experience with CI/CD tools - Azure DevOps, GitHub Actions.
• Proficient in Python scripting, and SQL.
• Understanding of ETL process.
• Knowledge of Databricks REST APIs, job orchestration, cluster policies, and secrets management.
• Knowledge of Azure services - ADF, Key Vault, ADLS Gen2, Synapse.

Key Competencies:

• 4+ years’ experience in data engineering, ETL tools and working with large data sets.
• Minimum 3 years of working experience of distributed cluster.
• At least 2-3 years of Azure Databricks Cloud experience in Data Engineering
• Experience of Delta table, ADLS, DBFS, ADF.
• Experience with Cloud based SQL Database: Azure SQL Editor
• Excellent problem-solving, investigative, and troubleshooting skills
• Experience with CI/CD tools such as Jenkins and Github
• Ability to work independently.

Soft Skills:

• Good Communication Skills
• Ability to coach and Guide young Data Engineers
• Decent Level in English as Business Language