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Lead Data Engineer

Skills
Azure Data FactoryComputer ScienceDevopsWarehouse OperationsApache SparkConsumer TextilesData Warehousing
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in Computer Science or related field or equivalent experience
  • 8+ years of experience in data warehouse architecture data delivery data modeling ETL tools master data management and automated documented solutions
  • 5+ years of experience with Microsoft Cloud Data Platform solutions including Microsoft Fabric OneLake Azure Synapse DevOps Data Factory pipelines and notebooks
  • Experience with monitoring and optimization tools such as Azure Monitor Application Insights or Fabric capacity metrics
  • Strong experience with medallion architecture modeling
  • Strong Python programming and data processing skills including dataframes and Spark
  • Strong SQL development and performance optimization skills
  • Experience with Microsoft Power BI is a plus
  • Strong communicative analytical problem solving and organizational skills
  • Ability to mentor team members in cloud technologies

Nice to have

  • Technical leadership
  • Cross-functional collaboration
  • Mentoring mindset
  • Analytical thinking
  • Problem solving
  • Organizational skills

Day to day

  • Lead the design and delivery of modern data engineering solutions using Microsoft Fabric and Azure Synapse Analytics.
  • Build and optimize data pipelines lakehouse architectures and enterprise data warehousing platforms from blueprint to hypercare support.
  • Guide junior engineers and collaborate with cross functional teams to improve data quality governance security performance and service delivery.