

Azure Data Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Lead with a contract-to-hire arrangement in Washington, DC. Requires 12+ years of experience, expertise in Azure data stack, ETL processes, SQL/PL-SQL, and data warehousing concepts. Only W2 candidates (USC/Green card).
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Washington, DC
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π§ - Skills detailed
#PySpark #Spark (Apache Spark) #NoSQL #Azure SQL Database #Data Engineering #Azure #Cloud #Data Integration #Azure SQL #Data Lake #Big Data #SQL (Structured Query Language) #Data Warehouse #Data Modeling #RDBMS (Relational Database Management System) #SQL Server #Microsoft Azure #Azure Data Factory #Synapse #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Data Catalog #Oracle #Azure SQL Data Warehouse #Storage #MS SQL (Microsoft SQL Server)
Role description
Position: Azure Data lead- Technical lead- Only W2
Location: washington DC- onsite
Contract to hire
Visa: Only USC and Green card/GC-EAD- only W2 , No corp to corp/ No employer
Minimum 12 plus years experience
Job description:
Azure Data engineer developer:
Β· In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e. Azure Data Factory, Azure Synapse, Azure SQL Database, etc.
Β· Experience of big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
Β· Experience with real-time / near-real-time data warehousing concepts and design approaches.
Β· Good understanding of OLTP and OLAP concepts and Strong knowledge on design concepts of Database and Data warehousing systems.
Β· Must have strong development & design skills in SQL and PL/SQL areas in RDBMS environments e.g. MS SQL Server and Oracle 11g/18c/19c.
Β· In-depth knowledge of NoSQL database usage within enterprise context and design/ modeling approach
Β· Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark to make the system grow elastically
Β· Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination
Β· Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark
Β· Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination
Β· Experience building Azure data lake ETL pipelines component such as Azure Data lake Analytics, Azure SQL database and SQL Datawarehouse.
Β· Expertise with data modeling on Azure SQL database and SQL Datawarehouse
Β· Expertise with building Azure data catalogue
Β· Data Integration : Building Pipeline and workflows (ETL) with Azure data factory
Key Skills: ADF, Pyspark, ADB and good knowledge in Data warehousing skills
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
Position: Azure Data lead- Technical lead- Only W2
Location: washington DC- onsite
Contract to hire
Visa: Only USC and Green card/GC-EAD- only W2 , No corp to corp/ No employer
Minimum 12 plus years experience
Job description:
Azure Data engineer developer:
Β· In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e. Azure Data Factory, Azure Synapse, Azure SQL Database, etc.
Β· Experience of big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
Β· Experience with real-time / near-real-time data warehousing concepts and design approaches.
Β· Good understanding of OLTP and OLAP concepts and Strong knowledge on design concepts of Database and Data warehousing systems.
Β· Must have strong development & design skills in SQL and PL/SQL areas in RDBMS environments e.g. MS SQL Server and Oracle 11g/18c/19c.
Β· In-depth knowledge of NoSQL database usage within enterprise context and design/ modeling approach
Β· Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark to make the system grow elastically
Β· Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination
Β· Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark
Β· Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination
Β· Experience building Azure data lake ETL pipelines component such as Azure Data lake Analytics, Azure SQL database and SQL Datawarehouse.
Β· Expertise with data modeling on Azure SQL database and SQL Datawarehouse
Β· Expertise with building Azure data catalogue
Β· Data Integration : Building Pipeline and workflows (ETL) with Azure data factory
Key Skills: ADF, Pyspark, ADB and good knowledge in Data warehousing skills
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com