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Open nowFirst seen 13 hours ago

Lead Azure Data Engineer

Info Resume Edge131 open roles

Where
Atlanta, Georgia, United States
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Your applicationOpen nowLead Azure Data EngineerInfo Resume Edge · Atlanta, Georgia, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 13 hours ago

The posting

Key Responsibilities

  • Participate in the modernization and migration of current Azure data and analytics systems to the Databricks Lakehouse Platform.
  • Support Databricks platform enablement, configuration, and deployment activities.
  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Functions, and Databricks.
  • Build scalable data integration solutions across Azure Data Lake, Azure SQL Database, Azure Storage (Blob/File), and Databricks.
  • Assist in optimizing ingestion and transformation processes for performance, reliability, and cost efficiency.
  • Migrate legacy data pipelines, workflows, and processing logic into Databricks notebooks or Delta pipelines.
  • Work with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Ensure all solutions comply with Marsh MMA standards for security, governance, and data quality.
  • Perform data validation, unit testing, troubleshooting, and system performance tuning.
  • Document architecture, workflows, design decisions, and operational procedures.

Required Technical Skills

  • Strong hands-on experience with: Azure Data Factory (ADF) SQL / T-SQL Azure Functions Azure SQL Database Azure Data Lake (ADLS Gen2) Azure Storage (Blob / File) Databricks (Notebooks, Delta Lake, Spark)

Qualifications

  • Bachelors degree in Computer Science, Data Engineering, Information Technology, or related field.
  • Proven experience working with cloud-based data engineering solutions, preferably in Azure ecosystems.
  • Experience supporting cloud migration or modernization initiatives is a plus.
  • Strong understanding of ETL/ELT concepts, data modeling, and distributed data processing.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent communication and documentation abilities.
  • Ability to collaborate with cross-functional teams across technical and business domains.
  • Detail-oriented with a focus on quality and compliance.
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