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Danaher Corporation

Data Engineer

Danaher Corporation

Data Engineer responsible for developing Azure-based data pipelines and analytics solutions. Collaborating with global teams and delivering data-driven decision-making support at SCIEX.

Posted 6/30/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and supporting data pipelines and analytics solutions using Azure Data Factory, Microsoft Fabric, and cloud data platforms like Azure SQL Database and Snowflake. Proficient in SQL development and operational support for data warehouse processes.

Highest-signal resume keywords
Azure Data FactoryMicrosoft FabricAzure SQL DatabaseSnowflakeSQL Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentETL ToolsELT ToolsDatabase Object MaintenancePerformance Tuning
Soft Skills
TroubleshootingOperational Support
Tools & Technologies
Data WarehouseAnalytics Solutions
Industry Keywords
Cloud Data PlatformsTechnical DocumentationVersion-Control Standards

Tech Stack

Tools & technologies
AzureCloudETLSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities