IT engineer Data & Analytics DevOps

Continental · Bengaluru, KA, India

ExclusiveFull-timePublished Jul 13, 2026

Apply directly on Continental’s careers site — no account needed.

About the role

  • Job Description

    ▪ Design, build, and operate a stable, scalable, and secure data platform infrastructure on Azure, including Databricks, CI/CD systems, and Power BI integration.

    ▪ Take ownership of platform infrastructure, deployment automation, and reliability engineering by reducing manual operations through automation and engineering solutions.

    ▪ Enable and continuously improve the reliable execution of data pipelines by implementing observability, monitoring, and automated recovery mechanisms.

    ▪ Build and evolve Infrastructure-as-Code-based platform provisioning and configuration management.

    ▪ Collaborate with software engineers, ML engineers, and architects to ensure platform capabilities align with development and architectural standards.

    Main Tasks

    Platform Engineering & Infrastructure

    ▪ Design, build, and operate Azure-based platform infrastructure using Infrastructure-as-Code (Terraform).

    ▪ Automate provisioning, configuration, and scaling of platform components (AKS, Key Vault, Monitor, Storage).

    ▪ Automate and manage Databricks workspace configuration, access control, and cluster policies.

    ▪ Define and enforce platform standards for cluster usage, performance, and cost optimization.

    CI/CD & Automation

    ▪ Design and implement CI/CD pipelines for Scala-based data applications.

    ▪ Automate build, packaging, and deployment processes (e.g., SBT, github enterprise).

    ▪ Enforce DevSecOps practices, including secure pipeline design and infrastructure governance.

    Reliability Engineering & Observability

    ▪ Implement observability for data pipelines and platform components (logging, metrics, alerting), using grafana.

    ▪ Diagnose failures and implement long-term reliability improvements, including root cause analysis and post-incident remediation.

    ▪ Define and implement reliability engineering practices, including SLIs/SLOs, incident response, and automated recovery mechanisms.

    ▪ Monitor Spark workloads using logs, metrics, and performance diagnostics.

    Data Platform Enablement

    ▪ Enable reliable runtime execution of production data pipelines and ensure SLA adherence.

    ▪ Collaborate with engineers to resolve performance bottlenecks and deployment issues.

    ▪ Support environment transitions, and platform lifecycle processes.

    Power BI Platform Integration

    ▪ Engineer and automate Power BI service configuration, workspace management, and monitoring.

    ▪ Design and operate enterprise gateway infrastructure for hybrid data integration scenarios.

    ▪ Troubleshoot and continuously improve reliability of dataset refresh and hybrid integration pipelines.

    Governance & Security

    ▪ Implement and enforce platform governance standards (RBAC, tagging, audit logging).

    ▪ Design secure secrets and credential management using Azure Key Vault, managed identities, and federated identity credentials.

    ▪ Automate compliance checks and support platform audits across Azure, Databricks, and Power BI environments.

    Platform Optimization

    ▪ Optimize resource utilization, scalability, and cost-efficiency across platform components.

    ▪ Provide transparency into platform usage, cost drivers, and optimization opportunities.

  • Qualifications

    ▪ Degree in Computer Science, Engineering, Information Systems, or a related field.

    ▪ Minimum 5 years of experience in platform engineering, DevOps, or SRE roles, with a strong focus on automation and infrastructure engineering.

    ▪ Strong hands-on experience with cloud platforms (Azure preferred), Infrastructure-as-Code (Terraform/Bicep), and CI/CD pipelines.

    ▪ Experience designing and operating production-grade data platforms and pipeline ecosystems (Scala / Spark environments).

    ▪ Strong understanding of distributed systems, reliability engineering, and observability practices.

    ▪ Experience with Databricks platform operations and Spark workload optimization.

    ▪ Experience integrating build and deployment pipelines (e.g., SBT, github enterprise).

    ▪ Experience with Power BI service administration and enterprise gateway architectures is a plus.

    ▪ Strong focus on automation-first approaches with minimal reliance on manual operations.

    ▪ Ability to work across global teams and collaborate with engineers, architects, and business stakeholders.

    NOT a Fit If Your Experience Is Primarily

    ▪ Manual system or platform administration without automation or Infrastructure-as-Code

    ▪ Ticket-based operations or L2/L3 support roles

    ▪ BI/reporting-focused roles or Power BI-only administration

The well-being of our employees is important to us. That's 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.

Skills

  • SQL
  • Python
  • R
  • Tableau
  • Power BI
  • Looker
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Jira
  • Confluence
  • Agile
  • Scrum

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