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Azure Data Engineer

Job in Juneau, Juneau Borough, Alaska, 99812, USA
Listing for: Tech3pillars Technologies
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

Job Title:

Azure Data Engineer

Location:

Atlanta, GA (onsite)

Job Summary

We are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Synapse Analytics, Apache Spark, PySpark, Spark SQL, and Data Lake architecture
. The ideal candidate will be responsible for designing, developing, optimizing, and supporting scalable data processing and analytics solutions in Azure environments.

The candidate should have a good understanding or exposure to Microsoft Fabric and be comfortable working across development and production support environments.

Key Responsibilities
  • Design, develop, and maintain scalable data engineering pipelines and solutions using Azure services.
  • Work extensively with Azure Synapse Analytics for data processing, analytics, and data warehousing.
  • Develop data transformation and processing solutions using PySpark and Spark SQL
    .
  • Apply strong knowledge of Apache Spark architecture
    , distributed computing, and large-scale data processing.
  • Design and implement Data Lake architectures
    , including the Medallion Architecture (Bronze, Silver, and Gold layers).
  • Work with Microsoft Fabric and support the adoption or integration of Fabric-based data solutions.
Key

Skills & Experience:
  • Strong hands-on experience with Azure Synapse Analytics
    , along with a good understanding or exposure to Microsoft Fabric
  • Deep understanding of Apache Spark architecture and distributed data processing concepts
  • Strong knowledge of Data Lake architecture
    , including Medallion Architecture
  • Hands-on experience in PySpark and Spark SQL for data transformation and processing
  • Solid communication skills with the ability to work effectively with cross-functional teams
  • Strong problem-solving and troubleshooting skills in data engineering environments
  • Should have worked in diverse environment with IT/Business/ Onsite offshore Model and also need to easily adapt on Development and Support models.
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