Data Platforms DevSecOps Engineer

Overview

We are seeking a DevSecOps Engineer to join our Data and Analytics Platform Team.  This role will focus on supporting the day-to-day operations of our Databricks platform, ensuring stability, security and performance. The engineers will work closely with Senior DevSecOps Architect and Data engineers to implement platform automation, monitor systems health, compute polices, support deployments, and contribute security standards and compliance practices

This is an excellent opportunity for motivated developers/engineers to continue to gain hands on experience in Databricks, DevSecOps practices, Enterprise-scale data platforms, and Power Bi/ Fabric while developing technical and operational expertise on a collaborative team.

Job Description

About the Role

As a Data Platforms DevSecOps Engineer at Becton, Dickinson and Company in Bengaluru, you will ensure the smooth operation and security of our Databricks platform. This role offers a chance to compete at top levels and deliver world-class solutions.

Key Responsibilities

Platform Support and Monitoring

• Support the daily operation of the Databricks platform, including job monitoring, cluster performance, and user access.
• Assist with fix platform issues and bring up to collaborators when necessary.
• Monitor health dashboards and logs, responding to alerts in a timely manner.
  
  

Automation and DevOps

• Assist in the maintenance of CI/CD pipelines for Databricks code deployment and configuration.
• Support Infrastructure as Code (IaC) approaches using Terraform, AzureOps, and related tools.
• Contribute to automation and branching strategies for repeatable tasks to improve efficiency.
  
  

Security & Compliance

• Collaborate with the team to apply security patches, update Databricks DBR versions, handle user access, and implement governance policies.
• Support role-based access controls and tagging policies.
• Assist in compliance audits and documentation.
  
  

Collaboration & Support

• Partner with Data Engineers, Data Scientists, Function BA Leads, BI Developers, and Business to resolve platform-related issues.
• Provide day-to-day operational support to business users in Databricks.
• Document processes, solve steps, and runbooks.
  
  

• Bachelor's degree or equivalent experience in information technology, computer science, or related fields.
• 2-3 years of hands-on experience in compliance, data governance, or cloud security roles.
• Hands-on experience with Databricks (Unity Catalog, workspaces, cluster management, Delta-Sharing, access policies, Data Asset Bundles, and Audit table meta-data).
• Familiarity with cloud environments (Azure/AWS).
• Experience with regulatory frameworks and understanding IT control requirements for SOC2, GDPR, HIPAA, SOX, GXP.
• Solid skills in SQL, Python, or PySpark.
• Experience with orchestration tools like ADF, Airflow, FiveTran, Qlik, Databricks Workflows.
• Knowledge of APIs (REST, GraphQL, SFTP, MuleSoft, and Webhooks notifications integration).
• CI/CD source control management using Azure DevOps or equivalent experience.
• Experience with mapping controls to technical risks.
  
  

Nice to Have

• Fabric Capacity and Fabric/Power BI knowledge.
• Experience with Event-driven (EDX) or State-based orchestration or Near Real-time architecture.
• Familiarity with Infrastructure as Code (Terraform).
• Familiarity with monitoring/logging tools (Azure Monitoring, CloudWatch).
• Awareness of DevOps principles, security, and standard methodologies.
• Good communication and documentation skills.
  
  

Access Management, Attribute-Based Access Control, Azure Devops, Code Deployment, Databricks Platform, Databricks Unity Catalog, DevOps, DevSecOps, Infrastructure As Code (IaC), Microsoft Azure, Microsoft Azure DevOps, Platform Support, Role Based Access Control (RBAC), Security Access Control, Security Compliance, User Access

Optional Skills

Cloud Security, General Data Protection Regulation (GDPR), Terraform

Primary Work Location

IND Bengaluru - Technology Campus

Additional Locations

Work Shift