Azure Data Engineer
Details on tech stack
Years of Experience 6 to 9 Years
Azure SQL, MS SQL Server, Azure Data Factory
Essential functions
Roles and Responsibilities:
Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related field preferred
5+ years of overall software development experience required
2+ years of hands-on development experience with Azure SQL database (Hyperscale / Managed Instance)
2+ years of hands-on development experience building the data movement pipelines using Azure Data Factory(ADF)
Executes design sessions to gather requirements, review, approve, and communicate design artifacts with stakeholders
Designing and implementing performance data movement pipelines using Azure Data Factory (ADF) for near real-time data movements
Integrating end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
Working with other members of the project team to support delivery of additional project components associated with cloud data platform
Qualifications
Problem solving application issues and production errors, including high level critical production issues that require immediate attention
Perform other duties as assigned
Would be a plus
Nice to have requirements to the candidate
Azure cloud certification is desirable.
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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