Data Engineer
Data Engineer
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Job Description
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 23000 employees operating in over 150 countries Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team dedicated to exceeding customer expectations through innovative and sustainable solutions.
The Role:
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:
- Design develop and implement robust data pipelines for data collection transformation and integration.
- Collaborate with senior engineers to architect scalable data solutions using Azure services including Azure Data Factory and Databricks.
- Integrate data from SAP ERP systems and other enterprise platforms into modern cloud-based data ecosystems.
- Leverage Databricks for big data processing and workflow optimization.
- Work with stakeholders to understand data requirements ensuring data quality and consistency.
- Maintain data governance practices to support compliance and security protocols.
- Support analytics teams by providing well-structured reliable data for reporting and machine learning projects.
- Troubleshoot and resolve data pipeline and workflow issues.
NOTE: Xylem does not provide visa sponsorship for this position
Qualifications:
- Bachelors degree in Computer Science Data Engineering Information Systems or a related field.
- 35 years of experience in data engineering or a related role.
- Proficiency in Azure technologies including Azure Data Factory Azure SQL Database and Databricks.
- Experience with SAP data integration is a plus.
- Strong SQL and Python programming skills for data engineering tasks.
- Familiarity with data modeling concepts (e.g. star and snowflake schemas) and best practices.
- Experience with CI/CD pipelines for deploying data workflows and infrastructure.
- Knowledge of distributed file systems like Azure Data Lake or equivalent cloud storage solutions.
- Basic understanding of Apache Spark for distributed data processing.
- Strong problem-solving skills and a collaborative mindset.
Technical Knowledge:
- Deep understanding ofAzure cloud infrastructureand services particularly those related to data management (e.g. Azure Data Lake Azure Blob Storage Azure SQL Database).
- Experience withAzure Data Factory (ADF)for orchestrating ETL pipelines and automating data workflows.
- Familiarity withAzure Databricksfor big data processing machine learning and collaborative analytics.
- Expertise inApache Sparkfor distributed data processing and large-scale analytics.
- Familiarity withDatabricks including managing clusters and optimizing performance for big data workloads.
- Understanding of Databricks Bronze Silver and Gold Model.
- Understanding ofdistributed file systemslike HDFS and cloud-based equivalents likeAzure Data Lake.
- Proficiency inSQLandNoSQL databases including designing schemas query optimization and managing large datasets.
- Experience withdata warehousingsolutions likeDatabricksAzure Synapse AnalyticsorSnowflake.
- Familiarity with connecting data Lakehouses with Power BI.
- Understanding ofOLAP(Online Analytical Processing) andOLTP(Online Transaction Processing) systems.
- Strong grasp ofdata modeling techniques including conceptual logical and physical data models.
- Experience withstar schema snowflake schema and normalizationfor designing scalable performant databases.
- Knowledge ofdata architecture best practices ensuring efficient data flow storage and retrieval.
- Knowledge ofCI/CD pipelinesfor automating the deployment of data pipelines databases and infrastructure.
- Experience withinfrastructure as codetools likeTerraformorAzure Resource Managerto manage cloud resources.
Preferred Qualifications:
- Familiarity with tools like Apache Airflow or other workflow orchestration tools.
- Knowledge of Azure Monitor or similar tools for system performance tracking.
- Certifications in Azure Data Engineering or related cloud platforms.
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.
At Xylem youll not only contribute to solving water issues but also have the chance to make a difference through our paid Volunteer Program Xylem Watermark. We prioritize our employees well-being through inclusion and belonging as well as our Employee Resource Groups (ERG). Proud to be an Equal Employment Opportunity (including disability and veterans) and Affirmative Action workplace Xylem fosters an inclusive environment free from discrimination or harassment.
Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. Embrace the opportunity to be part of Xylems transformative journey in shaping the future of water technology! #XylemCareers #GlobalImpact #WaterInnovation
Employment Type
Full-Time
