Senior Azure Data Engineer
New
G
goPro Consultancy Group ltd.IT services
Source API remote eligibility restrictions: United States, Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US.ContractSenior
Salary not disclosed
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Job Details
- Languages
- Candidates need to be fluent in English. Excellent knowledge of English (both written and verbal) is required.
- Experience
- Minimum 3 years of experience with Azure Data Factory - Extraction, Transformation and Loading experience; Minimum 3 years of experience with Azure Storage/ Data Lake / Data Warehouse; Minimum 2 years of experience with Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools; Minimum 2 years of experience with Azure Synapse analytics
- Required Skills
- ETLAzure DevOps
Requirements
- Hold a bachelor’s or university degree.
- Have a minimum of 3 years of experience with Azure Data Factory and extraction, transformation, and loading.
- Have a minimum of 3 years of experience with Azure Storage, Data Lake, or Data Warehouse.
- Have a minimum of 2 years of experience with database architecture testing methodology.
- Have experience executing test plans, debugging, and using testing scripts and tools.
- Have a minimum of 2 years of experience with Azure Synapse Analytics.
- Be fluent in English, both written and verbal.
- Experience with Azure DevOps and Azure Purview is nice to have.
Responsibilities
- Collect large, complex data sets that meet functional and non-functional business requirements.
- Identify, design, and implement internal process improvements.
- Redesign infrastructure to improve scalability.
- Optimize data delivery and automate manual processes.
- Build infrastructure for extracting, transforming, and loading data from various sources using Azure and SQL technologies.
- Build analytical tools that use the data pipeline to provide insight into business performance metrics, including operational efficiency and customer acquisition.
- Work with cloud infrastructure teams, data teams, governance, and information management officers to design, develop, deploy, and support data solutions and related infrastructure.
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