

Senior Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer with a 12+ month contract at a pay rate of "X" per hour. Requires 5+ years in Azure data engineering, 12+ years SQL expertise, and experience with Power BI, ETL tools, and big data technologies.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
744
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ποΈ - Date discovered
August 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#IoT (Internet of Things) #"ETL (Extract #Transform #Load)" #Azure DevOps #SQL (Structured Query Language) #Data Bricks #Schema Design #Synapse #Amazon Redshift #OBIEE (Oracle Business Intelligence Enterprise Edition) #Talend #ADF (Azure Data Factory) #Informatica #PySpark #Redshift #Microsoft Power BI #Cloud #DevOps #Visualization #Spark SQL #Azure SQL #Snowflake #GCP (Google Cloud Platform) #Azure Stream Analytics #Data Warehouse #Data Lake #Big Data #Programming #SAP #Tableau #Data Engineering #AWS (Amazon Web Services) #Spark (Apache Spark) #BI (Business Intelligence) #Databricks #Azure #Migration #Deployment
Role description
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Must Have skills:
β’ Minimum 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.
β’ Minimum 12 + years proven experience with SQL, schema design and dimensional data modelling.
β’ 2+ yrs of experience with Power BI
β’ 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.
β’ Solid knowledge of data warehouse best practices, development standards and methodologies
β’ 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.
β’ Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. -
β’ Be an independent self-learner with βletβs get this doneβ approach and ability to work in Fast paced and Dynamic environment.
β’ Excellent communication and teamwork abilities.
Nice to have skills
β’ Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
β’ SAP ECC /S/4 and Hana knowledge. -
β’ Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.