Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.<div><div><div>As a Data Engineer, you will design, develop, and optimize scalable data pipelines and workflows to support advanced analytics and business intelligence needs. You will collaborate with cross-functional teams to ensure data accessibility, integrity, and security.Core Responsibilities:<ul><li>Design, develop, and implement robust data pipelines for data collection, transformation, and integration.</li><li>Collaborate with senior engineers to architect scalable data solutions using Azure services, including Azure Data Factory and Databricks.</li><li>Integrate data from SAP ERP systems and other enterprise platforms into modern cloud-based data ecosystems.</li><li> Leverage Databricks for big data processing and workflow optimization.</li><li>Work with stakeholders to understand data requirements, ensuring data quality and consistency.</li><li>Maintain data governance practices to support compliance and security protocols.</li><li>Support analytics teams by providing well-structured, reliable data for reporting and machine learning projects.</li><li>Troubleshoot and resolve data pipeline and workflow issues.</li></ul>Qualifications:<ul><li>Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>3–5 years of experience in data engineering or a related role.</li><li>Proficiency in Azure technologies, including Azure Data Factory, Azure SQL Database, and Databricks.</li><li>Experience with SAP data integration is a plus.</li><li>Strong SQL and Python programming skills for data engineering tasks.</li><li> Familiarity with data modeling concepts (e.g., star and snowflake schemas) and best practices.</li><li>Experience with CI/CD pipelines for deploying data workflows and infrastructure.</li><li>Knowledge of distributed file systems like Azure Data Lake or equivalent cloud storage solutions.</li><li>Basic understanding of Apache Spark for distributed data processing.</li><li>Strong problem-solving skills and a collaborative mindset.</li></ul>Technical Knowledge:<ul><li>Deep understanding of Azure cloud infrastructure and services, particularly those related to data management (e.g., Azure Data Lake, Azure Blob Storage, Azure SQL Database).</li><li>Experience with Azure Data Factory (ADF) for orchestrating ETL pipelines and automating data workflows.</li><li>Familiarity with Azure Databricks for big data processing, machine learning, and collaborative analytics.</li><li>Expertise in Apache Spark for distributed data processing and large-scale analytics.</li><li>Familiarity with Databricks, including managing clusters and optimizing performance for big data workloads.</li><li>Understanding of Databricks Bronze, Silver, and Gold Model.</li><li>Understanding of distributed file systems like HDFS and cloud-based equivalents like Azure Data Lake.</li><li>Proficiency in SQL and NoSQL databases, including designing schemas, query optimization, and managing large datasets.</li><li>Experience with data warehousing solutions like Databricks, Azure Synapse Analytics or Snowflake.</li><li>Familiarity with connecting data Lakehouse’s with Power BI.</li><li>Understanding of OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) systems.</li><li>Strong grasp of data modeling techniques, including conceptual, logical, and physical data models.</li><li>Experience with star schema, snowflake schema, and normalization for designing scalable, performant databases.</li><li>Knowledge of data architecture best practices, ensuring efficient data flow, storage, and retrieval.</li><li>Knowledge of CI/CD pipelines for automating the deployment of data pipelines, databases, and infrastructure.</li><li>Experience with infrastructure as code tools like Terraform or Azure Resource Manager to manage cloud resources.</li></ul>Preferred Qualifications:<ul><li>Familiarity with tools like Apache Airflow or other workflow orchestration tools.</li><li>Knowledge of Azure Monitor or similar tools for system performance tracking.</li><li>Certifications in Azure Data Engineering or related cloud platforms.</li></ul>#LI-Hybrid</div></div></div>Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

Xylem is the global leader in advanced technologies, solutions and services that address the world&rsquo;s biggest water challenges. We enable our customers to dramatically improve the way water and wastewater is used, managed, conserved, re-used and returned to nature. At every level, our global team is committed to access, equity, inclusion, and diversity. Our goal is for all our colleagues to be involved, respected, valued, connected, and free to bring their authentic selves and ideas. If you are excited and passionate about solving water, we want to hear from you.

Data Engineer

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.<div><div><div>As a Data Engineer, you will design, develop, and optimize scalable data pipelines and workflows to support advanced analytics and business intelligence needs. You will collaborate with cross-functional teams to ensure data accessibility, integrity, and security.Core Responsibilities:<ul><li>Design, develop, and implement robust data pipelines for data collection, transformation, and integration.</li><li>Collaborate with senior engineers to architect scalable data solutions using Azure services, including Azure Data Factory and Databricks.</li><li>Integrate data from SAP ERP systems and other enterprise platforms into modern cloud-based data ecosystems.</li><li>&nbsp;Leverage Databricks for big data processing and workflow optimization.</li><li>Work with stakeholders to understand data requirements, ensuring data quality and consistency.</li><li>Maintain data governance practices to support compliance and security protocols.</li><li>Support analytics teams by providing well-structured, reliable data for reporting and machine learning projects.</li><li>Troubleshoot and resolve data pipeline and workflow issues.</li></ul>Qualifications:<ul><li>Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>3–5 years of experience in data engineering or a related role.</li><li>Proficiency in Azure technologies, including Azure Data Factory, Azure SQL Database, and Databricks.</li><li>Experience with SAP data integration is a plus.</li><li>Strong SQL and Python programming skills for data engineering tasks.</li><li>&nbsp;Familiarity with data modeling concepts (e.g., star and snowflake schemas) and best practices.</li><li>Experience with CI/CD pipelines for deploying data workflows and infrastructure.</li><li>Knowledge of distributed file systems like Azure Data Lake or equivalent cloud storage solutions.</li><li>Basic understanding of Apache Spark for distributed data processing.</li><li>Strong problem-solving skills and a collaborative mindset.</li></ul>Technical Knowledge:<ul><li>Deep understanding of&nbsp;Azure cloud infrastructure&nbsp;and&nbsp;services, particularly those related to data management (e.g., Azure Data Lake, Azure Blob Storage, Azure SQL Database).</li><li>Experience with&nbsp;Azure Data Factory (ADF)&nbsp;for orchestrating ETL pipelines and automating data workflows.</li><li>Familiarity with&nbsp;Azure Databricks&nbsp;for big data processing, machine learning, and collaborative analytics.</li><li>Expertise in Apache Spark&nbsp;for distributed data processing and large-scale analytics.</li><li>Familiarity with Databricks, including managing clusters and optimizing performance for big data workloads.</li><li>Understanding of Databricks Bronze, Silver, and Gold Model.</li><li>Understanding of distributed file systems&nbsp;like HDFS and cloud-based equivalents like Azure Data Lake.</li><li>Proficiency in SQL&nbsp;and NoSQL databases, including designing schemas, query optimization, and managing large datasets.</li><li>Experience with data warehousing&nbsp;solutions like&nbsp;Databricks, Azure Synapse Analytics&nbsp;or Snowflake.</li><li>Familiarity with connecting data Lakehouse’s with Power BI.</li><li>Understanding of OLAP&nbsp;(Online Analytical Processing) and OLTP&nbsp;(Online Transaction Processing) systems.</li><li>Strong grasp of data modeling techniques, including conceptual, logical, and physical data models.</li><li>Experience with star schema, snowflake schema, and normalization&nbsp;for designing scalable, performant databases.</li><li>Knowledge of data architecture best practices, ensuring efficient data flow, storage, and retrieval.</li><li>Knowledge of CI/CD pipelines&nbsp;for automating the deployment of data pipelines, databases, and infrastructure.</li><li>Experience with infrastructure as code&nbsp;tools like Terraform&nbsp;or Azure Resource Manager&nbsp;to manage cloud resources.</li></ul>Preferred Qualifications:<ul><li>Familiarity with tools like Apache Airflow or other workflow orchestration tools.</li><li>Knowledge of Azure Monitor or similar tools for system performance tracking.</li><li>Certifications in Azure Data Engineering or related cloud platforms.</li></ul>#LI-Hybrid</div></div></div>Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

Data Engineer

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Xylem

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