Data Engineer III

Overview

As Manager of IT Data Services, you will have responsibility and oversight for the design, analysis, development, and operations of data pipelines and Data Warehouses that support Business Intelligence, and Data Science (AI/ML) initiatives. This includes modeling, building, and populating Modern MPP Warehouse & Lakehouse architectures to resolve complex business problems.

• Partner with the business, document requirements, and advise solutions from a data and architecture perspective.
• Define and lead the data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization, and linkage.
• Assess business rules; perform source to target data mapping; design, review, implement and optimize ETL processes.
• Provide data analysis and identify data-related issues within the Data Warehouse environment, as well as source systems as needed.
• Create, optimize, and maintain logical and physical dimensional data models.
• Work in a fast-paced agile development environment.
• Participate in peer code reviews.

Skills and Key

Competencies:

• 7 years of hands‑on experience designing and implementing large-scale data warehouse solutions and complex data models.
• 3 years of experience in designing, developing, and tuning modern Azure data warehouses including in-depth knowledge of slowly changing dimensions and advanced performance tuning techniques.
• 3 years of hands‑on experience designing and implementing large-scale data pipelines including Change Data Capture.
• Capture (CDC) solutions for structured, semi-structured, and unstructured data in batch and real‑time environments.
• Strong knowledge of cloud native data platform architectures, data engineering and data management.
• Experience with Data lake technologies including ADLS Gen. 2
• 2 years of experience with Azure Data Factory and Power
  
  BI.
• 5 years of hands‑on experience with TSQL, Python, and Pyspark (Spark SQL)
• Broad experience in Microsoft SQL technologies, SSIS, SSRS, etc.
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