Sr. Azure Data Engineer ( Remote )

Posted on February 7, 2025

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Job Description

  • Sr. Azure Data Engineer ( Remote )
  • Exp: 7+years
  • Skills Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure
  • Databricks, Azure
  • Synapse, Spark, Python, Azure Analysis Services, Azure DevOps  Experience
  • working in ETL process for at least 8+ years  Experience developing ETL process
  • using Azure ETL tools for at least 5+ years
  • Qualifications  Bachelor's degree in information systems, Computer Science,
  • Engineering, or related field
  •  Proficient in designing and implementing data sourcing and transformation
  • processes (ETL) in a
  • large, distributed environment using cloud services e.g., Azure Data Factory, Azure
  • Data Lake,
  • Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python,
  • Azure Analysis
  • Services and Azure DevOps  Hands-on experience with developing complex ETL
  • pipelines that ingest and transform data
  • from various source systems into Azure cloud operational databases and data
  • warehouse
  • environment  Proficient in developing and operationalizing various data distribution
  • patterns such as APIs,
  • event based, publish/subscribe models  Well versed with data models, source
  • target definitions, identify/fixing discrepancies adhering to
  • enterprise data governance standards  Adept with Azure DevOps-CI/CD
  • (Continuous Integration and Continuous Deployment) and Test-
  • Driven Development practices  Design, develop and implement scalable batch /
  • real-time data pipelines to integrate data from
  • a variety of sources into an Azure database / data warehouse and data lake
  •  Experience migrating data lakes from on-premises to cloud
  •  Experience with agile delivery using Azure DevOps  Experience monitoring
  • performance of data workflows and infrastructure through use of
  • monitoring tools and enabling alerts  Functional knowledge of data visualization
  • tools.

Required Skills

azure python sql datalake databricks