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Zurn Elkay Water Solutions Logo

Senior Data Engineer

Zurn Elkay Water Solutions

Salary not specified
Aug 31, 2025
Remote, US
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Zurn Elkay Water Solutions Corporation is seeking a Senior Data Engineer to build and maintain scalable data pipelines that drive business success, leveraging expertise in Informatica IICS, Snowflake, Microsoft Fabric, Oracle Analytics Cloud, and Tableau.

Requirements

  • Proven expertise in Informatica IICS and Microsoft Fabric for building and managing ETL/ELT pipelines.
  • Strong experience with Snowflake for data warehousing, data modeling, and performance optimization.
  • Proficiency in Oracle Analytics Cloud (OAC) for creating analytics solutions, dashboards, and reports.
  • Hands-on experience with Microsoft Fabric for unified data integration, analytics, and reporting.
  • Proficiency in Microsoft technologies (e.g., Azure Data Factory, Azure Synapse, SQL Server, or other Azure data services).
  • Proficiency in SQL, Python or Spark, Data Warehousing and data modeling.
  • Solid understanding of data governance, security, and compliance in cloud environments.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Informatica Intelligent Cloud Services (IICS) and Microsoft Fabric Data factory for efficient ETL/ELT processes.
  • Build and optimize data models in Snowflake to support analytics, reporting, and business intelligence initiatives.
  • Leverage Microsoft Fabric to unify data integration, analytics, and reporting workflows, ensuring seamless data processing and insights delivery.
  • Utilize Oracle Analytics Cloud (OAC) to create advanced analytics solutions, including data visualizations and dashboards
  • Develop semantic models and data visualizations in Power BI for business insights.
  • Implement best practices in data governance, quality, and performance tuning within the Fabric environment.
  • Write complex SQL queries to extract, transform, and analyze data, ensuring high performance and accuracy.

Other

  • Bachelor’s degree in computer science, Engineering, Data Science, or a related field (Master’s degree preferred but not required).
  • 5 - 7 years of hands-on experience as a Data Engineer
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.
  • Strong communication skills to collaborate with business teams, gather requirements, and translate them into technical solutions.
  • Ability to work effectively as both a team player and an independent contributor, with a track record of taking ownership of projects.