Data Engineer

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics, and biotechnology

At SCIEX, one of 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

As part of SCIEX, you will help to influence life-changing research and outcomes, while accelerating your potential. For more than 50 years, we have been empowering our customers to solve the most impactful analytical challenges in quantitation and characterization through ground-breaking innovation and outstanding reliability and support. You will be part of a winning team, enabled by DBS, that is passionate about helping life science experts around the world get to answers they can trust.

Learn about the , which makes everything possible.

Delivering complete, accurate, and trusted data from multiple source systems into Azure-based data platforms. This role supports scalable data pipelines and analytics solutions that enable data‑driven decision‑making, working under guidance from senior engineers and architects.

This position is part of the Global IT organization supporting SCIEX, Molecular Devices, and the Life Sciences Platform. This position reports to the Senior Manager - IT Applications and will be fully remote from India.

In this role, you will have the opportunity to:

• Develop and support data pipelines using Azure Data Factory and Microsoft Fabric.

• Build and maintain database objects (tables, views, stored procedures) in Azure SQL Database, Microsoft Fabric, and Snowflake.

• Monitor and troubleshoot production data pipelines and data warehouse processes.

• Provide operational support for analytics and data warehouse requests from business users.

• Maintain technical documentation and follow established development and version-control standards.

Essential requirements of the job include:

• 3+ years of experience developing or supporting data warehouse or analytics solutions.

• Hands-on experience with ETL/ELT tools such as Azure Data Factory and/or Microsoft Fabric.

• Experience working with cloud data platforms (e.g., Azure SQL Database, Snowflake).

• Strong SQL development skills, including query development and basic performance tuning.

• Experience supporting production data pipelines, including monitoring and resolving data issues

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

• Experience working with Oracle ERP EBS data models

• Experience collaborating with offshore or distributed development teams

No travel required occasional collaboration across time zones may be expected

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit .