IT engineer Data & Analytics DevOps job opportunity at Continental.

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Date2025-11-04T05:13:15.225Z bot
Continental IT engineer Data & Analytics DevOps
Experience: General
Pattern: Full-time
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loacation Electronic City Road, Bengaluru, Karnataka, India
loacation Electronic Cit..........India
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Job DescriptionEnsure stable, scalable, and secure operation of the Azure-based Data & Analytics platform, including Databricks, Azure-native components, Power BI, and CI/CD infrastructureOffload operational workload from platform architects by taking ownership of infrastructure, deployment automation, and pipeline reliabilityEnable smooth execution and troubleshooting of data pipelines written in Scala and PySpark, including hybrid integration scenarios such as Power BI with gateway infrastructureReports to: Head of Data & Analytics IT Competence CenterCollaborates with: Platform Architects, Data Engineers, ML Engineers, Power BI DevelopersGeography: Global (stakeholders in Germany, India, Manila)Operational Scope: Azure services, Databricks workspaces, CI/CD toolchains, Power BI service (incl. gateways), and Spark-based data pipelines Main Tasks- Operate and optimize Azure resources (ADF, Key Vault, Monitor, Event Hub) - Administer Databricks workspace access and cluster configs - Apply Infrastructure-as-Code (Terraform/Bicep)- Manage CI/CD pipelines for Scala and PySpark-based pipelines - Integrate build steps (e.g., Maven/SBT, Python wheels) into automated deployments - Enforce DevSecOps and IaC standards- Monitor Spark job execution, analyze failures and stage-level issues using Spark UI and logs - Configure alerts, metrics, and dashboards for pipelines and infrastructure - Lead post-incident reviews and reliability improvements- Administer Power BI tenant configuration, workspace access, and usage monitoring - Operate and monitor on-premises or VM-hosted enterprise gateways - Troubleshoot dataset refreshes and hybrid data integration- Support runtime execution of production pipelines and ensure SLA adherence - Collaborate with engineers to resolve Spark performance issues or deployment errors - Participate in schema evolution and environment transitions- Enforce platform policies (tagging, RBAC, audit logging) - Maintain credential and secrets security using Key Vault and managed identity - Conduct audits across Azure, Databricks, and Power BI environments

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