Sr. Azure Data Engineer
• W2 ONLY. NO C2C / CORP-CORP / 1099 / 3RD PARTY FIRMS.
• DO NOT APPLY IF YOU DO NOT HAVE 10+ YEARS WORK EXPERIENCE IN THE UNITED STATES.
• DO NOT APPLY IF YOU CANNOT BE EMPLOYED AS A W2 WITH OUR COMPANY BY PROJECT START DATE.
12 month renewable term contract. Likely to extend multi-year/option to hire.
Client: Major global corporation earning $24B annual revenue employing over 18,000.
Overview:
As a Sr. Azure Data Engineer, join a team dedicated to delivering quality and efficient solutions for our manufacturing sites through data strategy and quality. ons to support improving efficiency and quality within manufacturing facilities. The ideal candidate would have experience using ETL and other data engineering tools in a cloud environment. Additionally, this candidate would have coding and scripting experience creating code to move and manipulate data using tools such as Azure Data Factory, Python, Databricks or Spark. This team uses Microsoft Azure to build and productionize data sets and processes to the product owners and product users and this role will be expected to contribute to those objectives. As a member of this team, work in conjunction with other data engineers, platform engineers, solution developers and others to execute and deliver working solutions to the end users.
Role:
• Design, construct, deploy, test and support solutions and applications to transform data for end-user consumption using Python, Azure Data Factory, and Databricks.
• Utilize Agile principles for development and analytics.
• Actively collaborate in an open and respectful team environment.
• Contribute to team objectives through iterative and agile development practices.
• Provide data analysis of internal and external data sources for transformation and delivery to end user solutions.
• Develop, deploy, and support data integration using APIs, cloud storage, SFTP and other data transfer technologies.
• Enable Power BI users and solutions by delivering data via dataflows, datasets, and other methods.
• Seek to Automate and improve efficiency as a way of working.
Qualifications:
• 10+ years experience working within the United States.
• Ability to employed as a W2 with TechnoSmarts by project start date.
• Bachelor’s Degree in Computer Science or related field is desired.
• 10+ years IT experience.
• 5+ years of experience with ETL processes and cloud technologies.
• Expert level Python programming experience.
• API development experience.
• Strong experience with Microsoft Azure platform and data processing toolsets including Azure Data Factory Pipelines, Azure Databricks, and Azure Data Lake Storage.
• Experience using Notebooks such as Jupyter and/or Databricks.
• Experience using query languages such as SQL, MDX and DAX.
• Experience using scripting languages such as PowerShell, M-Query (Power Query), and Windows batch commands.
• Understanding of Agile and DevOps principles for software development and ownership.
• Familiar with compliance and controls for software development and deployment.
• W2 ONLY. NO C2C / CORP-CORP / 1099 / 3RD PARTY FIRMS.
• DO NOT APPLY IF YOU DO NOT HAVE 10+ YEARS WORK EXPERIENCE IN THE UNITED STATES.
• DO NOT APPLY IF YOU CANNOT BE EMPLOYED AS A W2 WITH OUR COMPANY BY PROJECT START DATE.
12 month renewable term contract. Likely to extend multi-year/option to hire.
Client: Major global corporation earning $24B annual revenue employing over 18,000.
Overview:
As a Sr. Azure Data Engineer, join a team dedicated to delivering quality and efficient solutions for our manufacturing sites through data strategy and quality. ons to support improving efficiency and quality within manufacturing facilities. The ideal candidate would have experience using ETL and other data engineering tools in a cloud environment. Additionally, this candidate would have coding and scripting experience creating code to move and manipulate data using tools such as Azure Data Factory, Python, Databricks or Spark. This team uses Microsoft Azure to build and productionize data sets and processes to the product owners and product users and this role will be expected to contribute to those objectives. As a member of this team, work in conjunction with other data engineers, platform engineers, solution developers and others to execute and deliver working solutions to the end users.
Role:
• Design, construct, deploy, test and support solutions and applications to transform data for end-user consumption using Python, Azure Data Factory, and Databricks.
• Utilize Agile principles for development and analytics.
• Actively collaborate in an open and respectful team environment.
• Contribute to team objectives through iterative and agile development practices.
• Provide data analysis of internal and external data sources for transformation and delivery to end user solutions.
• Develop, deploy, and support data integration using APIs, cloud storage, SFTP and other data transfer technologies.
• Enable Power BI users and solutions by delivering data via dataflows, datasets, and other methods.
• Seek to Automate and improve efficiency as a way of working.
Qualifications:
• 10+ years experience working within the United States.
• Ability to employed as a W2 with TechnoSmarts by project start date.
• Bachelor’s Degree in Computer Science or related field is desired.
• 10+ years IT experience.
• 5+ years of experience with ETL processes and cloud technologies.
• Expert level Python programming experience.
• API development experience.
• Strong experience with Microsoft Azure platform and data processing toolsets including Azure Data Factory Pipelines, Azure Databricks, and Azure Data Lake Storage.
• Experience using Notebooks such as Jupyter and/or Databricks.
• Experience using query languages such as SQL, MDX and DAX.
• Experience using scripting languages such as PowerShell, M-Query (Power Query), and Windows batch commands.
• Understanding of Agile and DevOps principles for software development and ownership.
• Familiar with compliance and controls for software development and deployment.
