Senior Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years in Azure data engineering, 12+ years with SQL, and experience with Power BI, ETL tools, and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
736
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🗓️ - 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
-
🧠 - Skills detailed
#Deployment #Data Lake #Azure SQL #IoT (Internet of Things) #Talend #GCP (Google Cloud Platform) #Programming #Snowflake #Data Warehouse #Azure Stream Analytics #OBIEE (Oracle Business Intelligence Enterprise Edition) #Azure #Data Bricks #Spark (Apache Spark) #Informatica #Migration #SQL (Structured Query Language) #Databricks #SAP #Tableau #AWS (Amazon Web Services) #BI (Business Intelligence) #Spark SQL #Data Engineering #Azure DevOps #Redshift #ADF (Azure Data Factory) #Amazon Redshift #Visualization #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Schema Design #Synapse #Big Data #PySpark #DevOps #Cloud
Role description
VISA SPONSORSHIP IS NOT AVAILABLE
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.
Must Have skills:
• 5+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms.
• 12 + years proven experience with SQL, schema design and dimensional data modelling.
• 2+ yrs of experience with Power BI
• 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.
• Solid knowledge of data warehouse best practices, development standards and methodologies
• Experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
• Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. -
• Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
• Excellent communication and teamwork abilities.
Nice to have skills
• Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
• SAP ECC /S/4 and Hana knowledge. -
• Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes
VISA SPONSORSHIP IS NOT AVAILABLE
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.
Must Have skills:
• 5+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms.
• 12 + years proven experience with SQL, schema design and dimensional data modelling.
• 2+ yrs of experience with Power BI
• 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.
• Solid knowledge of data warehouse best practices, development standards and methodologies
• Experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
• Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. -
• Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
• Excellent communication and teamwork abilities.
Nice to have skills
• Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
• SAP ECC /S/4 and Hana knowledge. -
• Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes
