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Strong Gartner brand, metro Gurgaon location, and mid-senior generalist data role increase candidate competition.
Data engineering skills are transferable, but Azure-specific tooling and analytics focus require domain experience.
Explicit 6-9 years plus mandatory Azure ADF/Synapse/T-SQL requirements raise filter strictness.
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Design and build end-to-end, scalable data pipelines and modern data warehouse solutions in Azure, including ETL pipelines using Azure Data Factory and Synapse.
Develop and optimize T-SQL queries, tabular data models in Azure Analysis Services, and collaborate with analytics and business teams to meet reporting needs.
Lead technical design, perform code reviews, establish best practices, and provide project status updates to senior management.
6-9 years of experience in data warehouse design and development.
Proficient in Azure Data Factory (ADF) and Azure Synapse/Azure SQL Data Warehouse with complex T-SQL stored procedure experience.
Strong knowledge of Azure cloud components and hands-on experience with ETL pipeline performance tuning.
Understanding of dimensional and relational data modeling and business process analysis.
Experienced in delivering scalable data warehouse solutions in Azure cloud environments with hands-on engineering and optimization skills.
Able to manage technical design, collaborate cross-functionally, and communicate effectively with both technical and business stakeholders.
Comfortable owning end-to-end solution delivery and defining best practices while balancing multiple priorities to meet deadlines.