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Technology Lead | Azure Data Engineering

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Veriipro
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

We are seekingan experienced

Technology Lead / Azure Data Engineer with strong hands-on expertise in

Azure Synapse Analytic sand PySpark. The ideal candidate will have adeep understanding of Apache Spark, distributed data processing, Data Lake architecture, andmodern data engineering practices.

Must-Have Skills
  • Azure Synapse Analytics
  • Py Spark
  • Apache Spark architecture
  • Spark SQL
  • Data Lake architecture
  • Medallion Architecture
  • Data transformation and processing
  • Strong troubleshooting andproblem-solving skills
Nice-to-Have
  • Microsoft Fabric
  • Experience with modern cloud data platforms
Responsibilities
  • Design, develop, and optimize data solutions using

    Azure Synapse Analytics.
  • Develop scalable data pipelines and transformations using

    PySpark and SparkSQL.
  • Apply Apache Spark architecture and distributed processing concepts to large-scale data workloads.
  • Design and implement

    Data Lake and Medallion Architecture solutions.
  • Troubleshoot performance,data quality, and pipeline-related issues.
  • Collaborate with cross-functional teams to understand requirements and deliver scalablesolutions.
  • Evaluate and leverage

    Microsoft Fabric capabilities where appropriate.
  • Provide technical leadership and contribute to solution architecture and development standards.
Required Qualifications
  • 8+ years ofexperiencein data engineering, cloud platforms, orrelated technology roles.
  • Strong hands-on experience with Azure Synapse Analytics.
  • Strong programming experience with

    Py Sparkand Spark  SQL.
  • Deep understanding of Apache Sparkand distributed data processing.
  • Experience designing and implementing

    Data Lake architectures.
  • Excellent communication and collaboration skills.
  • Strong analytical, troubleshooting, and problem-solving abilities.
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