Job Description

  • Design, develop, and maintain data pipelines using Databricks, Python, PySpark, and AWS or Azure services.
  • Work with batch ETL pipelines; support real-time streaming pipelines where applicable.
  • Develop and optimize data workflows using Azure Synapse, Azure Data Factory (ADF), SQL Server, and Data Lakes.
  • Perform data modeling, dimensional modeling, and implement best practices for ETL, data governance, and data warehousing.
  • Collaborate with cross-functional teams, including business analysts and solution architects, to deliver scalable data solutions.
  • Mentor, coach, and advise other data engineering professionals on standards, design patterns, and best practices.
  • Conduct root cause analysis of datasets and processes to derive actionable insights.
  • Participate in design reviews, code reviews, and documentation of data engineering standards and processes.
  • Ensure operational efficiency,...

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