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Azure Data Engineer on W2 Jobs in Texas

Azure Data Engineer Jobs
By Avanade At , Seattle $164,091 a year

: [MULTIPLE POSITIONS]: Avanade Inc. is seeking Azure Data Engineers in Seattle, WA to deliver analytics and business intelligence solutions to our clients. In this role, you will: design and ...

Azure Data Engineer Jobs
By Spurcroft Inc At Houston, TX, United States
·Experience with Azure DevOps (ADO) tool for work management
·Understanding of CI/CD pipelines, branching strategies, & GIT for code management
·Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
·Experience in developing NO SQL solutions using Azure Cosmos DB is essential.
·Knowledge of Azure Data Lake and Azure SQL storage platforms
·Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
Lead Azure Data Engineer
By CGI Group, Inc. At , Dallas, 75215, Tx
Will manage stakeholder expectations and act as the liaison between architects and development team
4 to 5 years of hands on experience with cloud automation and scripting in an Azure environment.
Experience in development of apache Spark code using PySpark or Scala
Experience in using Azure Databricks Platform
Experience in using Azure Data Factory to call Azure Databricks notebook activities
Experience in using Azure DevOps based repositories
Risk Analyst (Only On W2)
By Akkodis At Houston, TX, United States
4-year degree. 7 years plus experience in project management
Great presentation skills, possesses a commanding presence Commodities knowledge is nice to have.
2-4 years of that with a regulatory focus (Dodd-Frank as well as EMIR)
Pay Range: $40 - $45/hour on W2
The Company will consider qualified applicants with arrest and conviction records.
Data Engineer (Azure) Jobs
By Anblicks At , Dallas, 75254, Tx
8+ years of overall experience developing data solutions leveraging Microsoft technologies (SSIS and or ADF, SSAS, SQL Server, Azure SQL/Synapse)
Very good data warehousing and data modeling skills (Kimball, Inmon, Star, Snowflake, Constellation)
Very good knowledge of the source and destination systems connectors
4+ years of experience working on SQL Data Warehouse and/or Azure Synapse
4+ years of experience working on SQL, T-SQL, Stored procedures, Functions
2+ years of experience working on SSIS

Are you looking for an exciting opportunity to work as an Azure Data Engineer on W2? We are looking for a motivated individual to join our team and help us build and maintain our Azure data platform. You will be responsible for designing and developing data pipelines, data models, and data warehouses, as well as creating and managing data security and governance. You will also be responsible for developing and maintaining data integration solutions, and providing data analytics and reporting. If you have a passion for data engineering and are looking for a challenging and rewarding role, then this is the job for you!

What is Azure Data Engineer on W2 Skills Required?

• Knowledge of Azure Data Services such as Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Cosmos DB, Azure Data Warehouse, Azure Stream Analytics, Azure Machine Learning, and Azure Analysis Services
• Experience with data modeling, data warehousing, ETL/ELT, and data governance
• Knowledge of SQL, T-SQL, and other query languages
• Knowledge of scripting languages such as PowerShell and Python
• Knowledge of Azure DevOps and source control
• Knowledge of Azure Security and compliance
• Experience with Azure Data Lake Analytics and Azure Data Lake Storage
• Experience with Azure Data Factory pipelines
• Experience with Azure Data Warehouse and Azure Data Lake
• Experience with Azure Stream Analytics
• Experience with Azure Machine Learning
• Experience with Azure Analysis Services
• Experience with Azure Data Catalog

What is Azure Data Engineer on W2 Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering
• Experience with cloud-based data solutions
• Experience with data visualization tools such as Power BI
• Experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database
• Experience with Azure Data Warehouse, Azure Stream Analytics, and Azure Machine Learning
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