Job TitleAzure Databricks Data Engineer
Estimated Start Date3/10/2025
LocationChicago, IL~Dallas,TX
Duration(Months)6 Months
Remote PossibilityOnsite
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Job Description:
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Overall 6+ years of experience as developer with strong handsโon experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake
Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns
Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks
Hands on experience on developing SQL scripts for automation
Proficiency in Python, SQL, and data transformation logic.
Experience building CI/CD pipelines for data engineering workloads
Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks
Excellent interpersonal, verbal, and written communication skills
Role Descriptions: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Essential Skills: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Desirable Skills:ย
Keyword:ย
Skills: Digital : Databricks
Experience Required: 6-8