
10,000+ employees
🧬 Biotechnology
🔬 Science
🤝 B2B
Biotechnology • Science • B2B
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
🔥 13 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
🧬 Biotechnology
🔬 Science
🤝 B2B
Biotechnology • Science • B2B
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
• 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.
• 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
Apply Now🔥 1 hour ago
Data Engineer II responsible for developing ETL/ELT workflows and managing data lakes for NPS Prism. Collaborating with teams to design data solutions on cloud platforms like Azure and AWS.
AWS
Azure
Cloud
ETL
PySpark
Python
SQL
Tableau
🔥 10 hours ago
Senior Curriculum Developer at Cloudera designing technical training for Generative AI, MLOps, and Data Engineering. Creating instructor-led guides and delivering workshops for diverse learning audiences.
Airflow
Apache
Kafka
Python
Spark
🔥 13 hours ago
Data Engineer at phData creating end-to-end cloud data solutions for enterprise clients. Collaborating with cross-functional teams to ensure quality and performance standards are met.
AWS
Azure
Cloud
Python
Scala
SQL
🔥 18 hours ago
Senior Data Engineer focused on designing and optimising Snowflake environments for customer engagement and audience activation. Collaborating with teams on data-driven strategies and solutions.
🕒 Yesterday
Data Engineer designing and optimizing data pipelines for NPS Prism's cloud-based CX platform. Collaborating with teams to manage data lakes and develop scalable data solutions.
Apache
AWS
Azure
Cloud
ETL
Jenkins
PySpark
Python
Spark
SQL