Lead Data Engineer

7 days ago


Tempe, Arizona, United States Wolters Kluwer DXG U.S., Inc. Full time
Job Title: Lead Data Engineer

Wolters Kluwer Tax & Accounting is seeking a highly skilled Lead Data Engineer to join our team. As a Lead Data Engineer, you will play a key role in designing and developing highly optimized and reliable enterprise-level data pipelines to move data to data warehouses in real-time.

Key Responsibilities:
  • Participate in and lead a team of data engineers to design and develop data pipelines for the Data Lake.
  • Review and analyze existing business processes to identify gaps and recommend improvements.
  • Design and develop modern real-time solutions using Scala, PySpark, and Azure Databricks.
  • Improve data governance and operational excellence.
  • Develop data expertise and take ownership of data quality for newly developed pipelines.
  • Adhere to company coding standards and best practices.
  • Conduct code reviews and create technical solution documents.
Requirements:
  • 5+ years of experience building data pipelines for structured and unstructured data.
  • 2+ years of experience with Azure data pipeline development.
  • 3+ years of experience with Azure Databricks, Stream Analytics, Eventhub, Kafka.
  • 3+ years of experience with relational and dimensional data modeling with SQL Server and data warehouse.
  • 3+ years of experience with SQL Server, T-SQL, stored procedure development, and database optimization.
  • 3+ years of experience with MS BI stack (SSIS/SSRS/SSAS, Power BI).
  • 2+ years of experience with Azure data platform (Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse).
  • 2+ years of experience with Azure ML, Python, Scala.
  • 3+ years of experience with big data technologies.
  • 2+ years of experience with Power BI, Azure Analysis Services.
  • Experience working with business stakeholders, requirements, and use case analysis.
  • Strong communication and collaboration skills with creative problem-solving skills.
Preferred Qualifications:
  • Bachelor's degree in Computer Science or equivalent work experience.
  • Experience with Agile/Scrum methodology.
  • Experience with Spark or PySpark.
  • Experience with tax and accounting domain a plus.
  • Azure Data Engineer certification a plus.
  • Azure Solution Architect certification.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about data engineering and want to join a dynamic team, please submit your application.



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