We are the people who give possibilities purpose

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Job Description

Lead Engineer for Data Operations

Are you ready to join a team known for innovation and ambition at BD? We are hiring a Lead DataOps Engineer to take on an essential role within our Digital Transformation Organization. This position lets you engage with advanced technology in a constantly evolving environment. You will supply to developing outstanding solutions that boost business results and improve patient health.

Position Summary

As a Lead DataOps Engineer, you will assume a data operations leadership position within our Digital Transformation Organization. You will be highly motivated, self-starting, and dedicated to delivering results with a solid sense of responsibility and persistence until resolution. Your excellent organizational skills will allow you to handle various tasks and succeed in a fast-paced environment with minimal oversight. Furthermore, your strong analytical, problem-solving, and solve abilities will be essential in this position.

Educational Background

• Bachelor’s degree or equivalent experience in Computer Science, Data Analytics, or related fields.

Professional Experience

• More than 5 years of professional experience with Databricks, Azure Data Factory, and Power BI.

Job Responsibilities

Databricks and Azure Data Factory tools:

• Proactive Monitoring & Support: Monitor ADF pipeline and Databricks schedule runs and activity logs for all tracks. Handle failures, retries, and blocking issues.
• Ensure SLA compliance for data movement and transformation.
• Process files by manually initiating the necessary jobs according to business needs.
• Cluster upgrade in case of performance issues.
• Pause & resume jobs and identify impacted objects due to source-side issues.
• Provide month-end assistance according to business requirements.
• Build artifacts and document issues & object-level inventory.
• Collaborate with teams and lead knowledge-sharing sessions.
• Connects daily with teams and clients to deliver timely updates.
• Perform data corrections to maintain consistency between source and downstream systems.

Incident Management:

• Perform root cause analysis for failures and build incidents when necessary.
• Communicate and inform issues to engineering teams.
• Interact with users and resolve issues.

Scheduling & Trigger Management:

• Configure and maintain scheduled, tumbling window, and event-based triggers for ADF.
• Modify schedules according to business requirements.

Deployment & CI/CD:

• Validate BD internal requests and coordinate deployments across Dev, QA, and Prod environments.
• Maintain Git integration and release pipelines.

DevOps Activities:

• Build folders in DEV, QAS, and PROD ADLs.
• Manage files across ADLs environments.
• Make changes in DAB files and upload to ADLs.

Power BI:

• Monitor scheduled dataset, dataflow, and pipeline refreshes across workspaces.
• Track refresh failures, identify root causes, and take corrective actions.
• Maintain daily refresh status reports and send updates to collaborators.
• Ensure gateway health, connection stability, and capacity utilization.
• Solve visualization issues, filters, bookmarks, drilldowns, and broken navigation.
• Validate and fix data mismatch, performance problems, and incorrect measures.
• Support users with access requests, RLS issues, and permissions.
• Coordinate deployments using deployment pipelines, PBIX file migration, and parameter updates.
• Validate releases in QA and Production through Quality Control checks.

Knowledge and Skills

• Practical experience working directly with Databricks, Azure Data Factory, and Power BI.
• Strong ETL and SQL knowledge is a must.
• Advanced knowledge of Power BI (DAX, Power Query, data modeling).
• Familiarity with Azure Data Services or similar cloud platforms.
• Excellent problem-solving and interpersonal skills.
• Experience with Azure DevOps / GitHub.
• Strong critical thinking, solve, and leadership skills.

Desired / Additional Skills & Knowledge

• Knowledge of ServiceNow and Microsoft Azure cloud platform.
• Good interpersonal and behavioral skills.
• Excellent soft skills.

If you are ready to make an impact and drive digital transformation at BD, we want to hear from you!

Why Join Us?

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.

We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visithttps://bd.com/careers.

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

Required Skills

Batch Monitoring, Communication, Data Engineering, Data Monitoring, DataOps, Data Pipelines, End-to-End Orchestration, Microsoft Azure Databricks, Operations Orchestration, Problem Resolution, Root Cause Analysis (RCA), Security Monitoring, SLA Monitoring

Optional Skills

Collaborating, Customer Engagement, Emotional Intelligence, User Engagement

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Primary Work Location

IND Bengaluru - Technology Campus

Additional Locations

Work Shift