Overview
On Site
Hybrid
$70 - $80
Contract - W2
Skills
c# Python
Job Details
Summary:
The main function of the Engineer is to design, collect, and process data within Azure. This role involves the development of data acquisition tooling and reporting to derive product insights and better align the product to its design specifications.
Job Responsibilities:
Strong ability to use azure tooling to create data pipelines, security configurations, and automation. C# or Python coding work that would be done to configure Azure functions or to set up automated processes. Azure Synapse understanding would be necessary for ADF pipeline functions
Skills:
Education/Experience:
Job Responsibilities:
- Attend and contribute to daily team syncs
- Takes ownership of data analytics projects and drives adoption and insights to our data consumers.
- Design, develop, document robust data flow processes
- Build and manage data pipelines using Azure Data Factory and Azure Synapse.
- Monitor and optimize the performance of data systems to ensure they operate efficiently and securely.
- Provide support for customer issues, outages, and new feature requests.
- Collaborate with cross-functional teams to integrate disparate datasets into a common data view
- Responsible for system health and monitoring and ETL development and support
- Contribute clear and accurate documentation and user guides to enable data consumers
Strong ability to use azure tooling to create data pipelines, security configurations, and automation. C# or Python coding work that would be done to configure Azure functions or to set up automated processes. Azure Synapse understanding would be necessary for ADF pipeline functions
Skills:
- Creativity, verbal and written communication skills, analytical and problem-solving ability.
- Team player and detail oriented.
- 4-5+ years of experience with Azure data infrastructure, including Azure Synapse, Azure Data Factory, and Azure SQL,
- Experience understanding and performing azure process optimization
- 8-10+ years of experience with file formatting (CSV, JSON, HTML) and data transport into SQL databases.
- Strong analytical and problem-solving abilities.
Education/Experience:
- 8-10 years of experience in data engineering or a related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.