Big Data Developer
The project involves a large-scale cloud modernization initiative focused on migrating existing on-premises SQL Server databases to Azure SQL. This role will be a key contributor during the early stages of the Azure Cloud migration, with responsibilities spanning database migration, cloud data platform design, and near real-time data integration.
The engineer will work closely with stakeholders, architects, and cross-functional teams to design and implement scalable, high-performance data solutions using Azure SQL and Azure Data Factory (ADF). As the cloud migration progresses, there will be opportunities to contribute across application modernization and data engineering initiatives.
Essential functions
Design, develop, and implement database migration solutions from on-prem SQL Server to Azure SQL (Managed Instance / Hyperscale)
Lead and participate in design sessions to gather requirements, review architecture, and communicate design artifacts with stakeholders
Design and implement high-performance, near real-time data movement pipelines using Azure Data Factory (ADF)
Build and integrate end-to-end data pipelines from source systems to target data repositories, ensuring data quality, consistency, and reliability
Collaborate with project team members to support additional components of the cloud data platform
Troubleshoot and resolve application issues and production defects, including critical production incidents requiring immediate attention
Support ongoing optimization, monitoring, and performance tuning of Azure SQL and ADF solutions
Perform other duties as assigned to support project delivery and cloud migration goals
Qualifications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent experience)
5+ years of overall software development experience
2+ years of hands-on experience with Azure SQL Database, including Managed Instance and/or Hyperscale
2+ years of hands-on experience building data movement pipelines using Azure Data Factory (ADF)
Strong experience with Microsoft SQL Server (on-prem and cloud)
Experience designing and implementing scalable, performant data integration solutions
Strong problem-solving skills with the ability to handle production issues under tight timelines
Excellent communication skills and experience working with cross-functional teams
Would be a plus
Azure cloud certification is desirable.
Azure Cloud Certification (AZ-900, AZ-204, AZ-305, DP-203, or similar)
Experience with large-scale cloud migration projects
Experience working in regulated or enterprise environments
Exposure to near real-time or event-driven data architectures
Familiarity with DevOps, CI/CD pipelines, and infrastructure-as-code in Azure
Experience contributing beyond database migration into application modernization or data engineering initiatives
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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.