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IT engineer Data & Analytics DevOps
IT engineer Data & Analytics DevOpsContinental • Bengaluru, Karnataka, India
IT engineer Data & Analytics DevOps

IT engineer Data & Analytics DevOps

Continental • Bengaluru, Karnataka, India
30+ days ago
Job description
  • Ensure stable scalable and secure operation of the Azure-based Data & Analytics platform including Databricks Azure-native components Power BI and CI / CD infrastructure
  • Offload operational workload from platform architects by taking ownership of infrastructure deployment automation and pipeline reliability
  • Enable smooth execution and troubleshooting of data pipelines written in Scala and PySpark including hybrid integration scenarios such as Power BI with gateway infrastructure
  • Reports to : Head of Data & Analytics IT Competence Center
  • Collaborates with : Platform Architects Data Engineers ML Engineers Power BI Developers
  • Geography : 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
    • Qualifications :

    • Education / Certification :
    • Bachelors or Masters degree in Computer Science Engineering Information Systems or related field.

      Preferred : Azure DevOps Engineer Expert Power BI Admin or Databricks Admin certifications

    • Professional Experience :
    • Minimum 5 years in cloud platform engineering DevOps or SRE roles within data or analytics platforms

      Hands-on experience with Spark (Databricks) PySpark and CI / CD for JVM-based data applications

    • Project or Process Experience :
    • Proven ability to deploy and operate complex data pipeline ecosystems using Scala and PySpark

      Experience in managing Power BI service in enterprise setups including hybrid gateway environments

    • Leadership Experience :
    • No formal people leadership required; expected to lead through technical authority and cross-team collaboration

    • Intercultural / International Experience :
    • Experience working in distributed teams across time zones and cultures; strong communication skills and resilience

      Additional Information :

      The well-being of our employees is important to us. Thats why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as :

    • Training opportunities
    • Mobile and flexible working models
    • Sabbaticals
    • and much more...

      Sounds interesting for you Click here to find out more.

      Diversity Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age gender nationality cultural background disability religion ideology or sexual orientation.

      Ready to drive with Continental Take the first step and fill in the online application.

      Remote Work : No

      Employment Type : Full-time

      Key Skills

      Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

      Experience : years

      Vacancy : 1

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    Data Engineer • Bengaluru, Karnataka, India

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