Data Engineer

Xylem

Azure cloud data platforms
Databricks
Sap data integration
Design, build, and maintain data integration pipelines that curate and transform Xylem data to enable data-driven decision-making and accelerate digital transformation

Job Summary

  • Design, build, and maintain data integration pipelines that curate and transform Xylem data to enable data-driven decision-making and accelerate digital transformation.
  • Collaborate closely with senior engineers, analytics teams, and business stakeholders to deliver certified data models, reports, and dashboards that support enterprise reporting and advanced analytics.
  • Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use.

Matching Summary

Design, build, and maintain data integration pipelines that curate and transform Xylem data to enable data-driven decision-making and accelerate digital transformation.

Skills & Requirements

Must-have

  • Azure cloud data platforms
  • Databricks
  • SAP data integration
  • Data pipeline design and maintenance
  • SQL and Python skills
  • Azure Data Factory
  • Azure SQL
  • Azure Data Lake

Nice-to-have

  • Apache Spark optimization
  • Data governance best practices
  • CI/CD for data workflows
  • Machine learning use cases
  • Xylem Watermark volunteer program

Key Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
  • 3–5 years of experience in data engineering
  • Basic working knowledge of Apache Spark
  • Understanding of data modeling concepts
  • Familiarity with CI/CD pipelines

Work Rights

Not specified

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