IJR - Data Analyst - TT

Tasks About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Must-Have35 years of hands-on experience in data engineering on the Azure platformStrong proficiency in Azure Data Factory pipelines, triggers and monitoringHands-on experience with Azure Databricks and PySpark for large-scale data processingSolid understanding of Delta Lake and medallion architecture patternsProficiency in SQL and Python for data transformation and scriptingExperience with Azure Data Lake Storage Gen2 (ADLS Gen2) and Blob StorageFamiliarity with CI/CD pipelines and version control using Azure DevOps and GitStrong understanding of data modelling concepts - dimensional, normalized, and flat schemas Qualifications Good to HaveExposure to streaming platforms such as Apache Kafka or Azure Event HubsFamiliarity with Infrastructure as Code using ARM templates or TerraformUnderstanding of data security best practices, RBAC, and Azure Key VaultExperience with Power BI or other reporting/BI tools.Why Join Us Be part of a purpose-driven organization that is shaping the future of mobility Work on cutting-edge technologies and global projects Thrive in a collaborative, diverse, and inclusive environment Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Tasks About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Must-Have35 years of hands-on experience in data engineering on the Azure platformStrong proficiency in Azure Data Factory pipelines, triggers and monitoringHands-on experience with Azure Databricks and PySpark for large-scale data processingSolid understanding of Delta Lake and medallion architecture patternsProficiency in SQL and Python for data transformation and scriptingExperience with Azure Data Lake Storage Gen2 (ADLS Gen2) and Blob StorageFamiliarity with CI/CD pipelines and version control using Azure DevOps and GitStrong understanding of data modelling concepts - dimensional, normalized, and flat schemas Qualifications Good to HaveExposure to streaming platforms such as Apache Kafka or Azure Event HubsFamiliarity with Infrastructure as Code using ARM templates or TerraformUnderstanding of data security best practices, RBAC, and Azure Key VaultExperience with Power BI or other reporting/BI tools.Why Join Us Be part of a purpose-driven organization that is shaping the future of mobility Work on cutting-edge technologies and global projects Thrive in a collaborative, diverse, and inclusive environment Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.