Staff Data Engineer (Reporting & Analytics)-Bangalore

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At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.

Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.

Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.

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The Staff Data Engineer (Reporting & Analytics) is responsible for designing and improving Danaher’s data management & analytics function. The primary objective of this role is to build analytics strategies that align with business priorities and drive measurable business outcomes.  

This position reports to the Sr. Director – Data Engineering and is part of the Core Technology & Planning is onsite based out of Bangalore,India.  

In this role, you will have the opportunity to: 

•  Data Engineer builds and maintains analytics-ready datasets optimized for reporting and dashboards for consumption by all Danaher Opcos. 

• Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge. 

• Partner with stakeholders to translate business questions into clear, accurate metrics. 

• Ensure data accuracy, freshness, and consistency across reporting surfaces 

• Implement testing, documentation, and quality checks for data analytics  

The essential requirements of the job include:

• 8+ years of experience in analytics engineering, reporting, or business intelligence roles

• Advanced expertise in PySpark and building scalable ETL/ELT pipelines for analytics and reporting
• Hands-on delivery of Fabric or Databricks lakehouse solutions using medallion architecture (Dataflow Gen2, Fabric Pipelines, PySpark Notebooks, OneLake/Lakehouse)
• Strong command of Power BI architecture, including DirectQuery, Composite Models, RLS/OLS, and dashboards
• Proven experience with CI/CD, DevOps practices, and designing high‑volume, highly available cloud data pipelines on Azure or AWS

Travel, Motor Vehicle Record & Physical/Environment Requirements: 

• Ability to travel to Washington DC and global Danaher sites, up to 10% 

It would be a plus if you also possess previous experience in: 

•  Experience with modern data warehouses (Snowflake, BigQuery, Redshift) 

• Familiarity with cloud data platforms (AWS, Azure, GCP) 

• Knowledge of data governance, metadata management, and data quality frameworks  

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.