Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include proficiency in Azure Databricks, Synapse Analytics, SQL Hyperscale, and strong programming in Python and PySpark.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 12, 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
#Deployment #Python #Automated Testing #Data Modeling #Java #Programming #Azure #Data Bricks #Spark (Apache Spark) #Azure cloud #SQL (Structured Query Language) #Automation #Azure Databricks #Data Quality #Databricks #Version Control #Quality Assurance #Data Engineering #"ETL (Extract #Transform #Load)" #Synapse #PySpark #Cloud
Role description
Job Focused On:
• Python and Java. Used to be a data bricks engineer. And now move into data quality.
• Resources who were data engineers and now moved into data quality.
• Write code/queries
• Develop automation test scripts using Python and PySpark.
• Azure Databricks, Synapse Analytics, and SQL Hyperscale.
Requirements:
• Proficiency in data engineering technologies such as Azure Databricks, Synapse Analytics, and SQL Hyperscale.
• Strong programming skills in Python and PySpark for developing automation test scripts.
• Experience with building and implementing test frameworks for data-centric applications in Azure cloud environments.
• Knowledge of data quality assurance methodologies and best practices.
• Familiarity with version control systems and CI/CD pipelines for automated testing and deployment.
• Understanding of data modeling, ETL processes, and data warehousing concepts.
Job Focused On:
• Python and Java. Used to be a data bricks engineer. And now move into data quality.
• Resources who were data engineers and now moved into data quality.
• Write code/queries
• Develop automation test scripts using Python and PySpark.
• Azure Databricks, Synapse Analytics, and SQL Hyperscale.
Requirements:
• Proficiency in data engineering technologies such as Azure Databricks, Synapse Analytics, and SQL Hyperscale.
• Strong programming skills in Python and PySpark for developing automation test scripts.
• Experience with building and implementing test frameworks for data-centric applications in Azure cloud environments.
• Knowledge of data quality assurance methodologies and best practices.
• Familiarity with version control systems and CI/CD pipelines for automated testing and deployment.
• Understanding of data modeling, ETL processes, and data warehousing concepts.
