Senior Azure Data Engineer
New
United States, 4-6 hours overlap with New York office hoursFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Minimum 3 years with Azure Data Factory, minimum 3 years with Azure Storage/Data Lake/Data Warehouse, minimum 2 years with database architecture testing, minimum 2 years with Azure Synapse
- Required Skills
- SQLETLAzure DevOps
Requirements
- Bachelor or University degree.
- Minimum 3 years of experience with Azure Data Factory and ETL processes.
- Minimum 3 years of experience with Azure Storage, Data Lake, and Data Warehouse.
- Minimum 2 years of experience with database architecture testing methodology, including test plan execution, debugging, and testing scripts.
- Minimum 2 years of experience with Azure Synapse analytics.
- Excellent written and verbal communication skills in English.
- Ability to work 4-6 hours per day during New York office hours.
- Nice to have: Experience with Azure DevOps and Azure Purview.
Responsibilities
- Collect large, complex data sets meeting functional and non-functional requirements.
- Design and implement process improvements including re-designing infrastructure for scalability and automating manual tasks.
- Build infrastructure for optimal extraction, transformation, and loading of data using Azure and SQL.
- Develop analytical tools to provide actionable insights on business performance metrics.
- Collaborate with cloud infrastructure, data, governance, and information management teams to deploy and support data solutions.
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