Lead Azure Data Engineer (PySpark, Databricks, ETL)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Azure Data Engineer with 5+ years in data engineering on Azure, strong SQL and dimensional modeling skills, and expertise in ETL tools. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ADLS (Azure Data Lake Storage) #Data Warehouse #Programming #ADF (Azure Data Factory) #Cloud #Spark (Apache Spark) #Schema Design #Data Engineering #Data Lake #"ETL (Extract #Transform #Load)" #Azure SQL #Azure #Databricks #SQL (Structured Query Language) #PySpark #Big Data #Synapse #Spark SQL #Data Bricks
Role description
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Job Description:
• Minimum 5+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Data Bricks etc.
• Azure experience is preferred over other cloud platforms.
• Minimum 12 + years of proven experience with SQL, schema design and dimensional data modelling.
• Solid knowledge of data warehouse best practices, development standards and methodologies.
• Experience with ETL/ELT tools like ADF, Azure, MS Fabric etc., and data warehousing technologies like Azure Synapse, Azure SQL, ADLS etc.
• Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
• Be an independent self-learner with a “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
