Key Responsibilities

Azure Platform Engineering (Data Analytics Focus)

- Design and manage cloud infrastructure for enterprise data platforms including:

- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Collibra Data Intelligence Cloud integrations

- Enable high-performance, scalable environments for MDM and Data Quality solutions

DevOps CI/CD Enablement

- Build and manage CI/CD pipelines for data products, MDM platforms, and data quality rules
- Automate deployments for:

- Collibra workflows, DQ rules, and integrations
- Databricks notebooks, jobs, and clusters

- Leverage:

- Azure DevOps (Pipelines, Repos)
- Git-based version control and branching strategies

- Enable release governance, environment promotion, and rollback strategies

- Implement data security controls aligned with BD s compliance and governance standards
- Collaborate with security teams to enforce Zero Trust and least privilege access

Automation Scripting

- Develop robust automation using PowerShell, Python, Bash

- Automate:

- Data pipeline deployments
- Data quality rule execution workflows
- Monitoring alerts and issue remediation

- Integrate APIs across systems (Collibra, ServiceNow, Azure services)

Required Skills Qualifications

Core Technical Expertise





- Robust Azure experience with focus on data platforms (ADLS, Databricks)
- Strong Knowledge in Collibra platform installation Maintenance.
- Expertise in CI/CD pipelines (Azure DevOps) for data engineering workloads
- Good knowledge in Terraform / Bicep / ARM templates
- Good knowledge of Azure networking (Private Link, VNets, NSG, Firewall)
- Basic scripting skills (PowerShell, Python, Bash)

Data Platform Governance Experience

- Experience working with:

- Collibra (Data Quality, Data Catalog, Workflows) highly preferred
- Databricks (job orchestration, notebook deployment)

- Understanding of:

- Data Quality frameworks and rule execution lifecycle
- MDM ecosystems and domain-based data products

DevOps Tools

- Git (branching, PR workflows)
- Containers: Docker, Kubernetes (AKS exposure is a plus)
- API integrations and automation frameworks

Primary Work Location IND Bengaluru - Technology Campus

Additional Locations

Work Shift

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Azure DevOps Engineer MDM Data Governance (Bengaluru)
🏢 Becton Dickinson
📍 Bengaluru