Data Platform Engineer

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 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 Qualifications Bachelor s degree in computer science Computer Engineering relevant technical field or equivalent Master s degree preferred Additional Information 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