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Medium — metro Gurugram senior data role with specialized Azure/Snowflake skills attracts moderate applicant density.
Medium — core data engineering skills transferable, but Azure/Snowflake/DBT requirement favors cloud warehousing experience.
High — explicit 8+ years and mandatory Azure, Snowflake, DBT skills narrow candidate pool.
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Design, develop, and optimize ETL/ELT data pipelines using Azure Data Factory, Snowflake, and DBT.
Build and maintain data integration workflows and write optimized SQL queries for data transformation.
Collaborate with stakeholders and technical teams to ensure data quality, governance, and reliable cloud-native data operations.
8+ years of experience in data engineering using Azure and Snowflake.
Proven expertise in Azure Data Factory, Snowflake, SQL, and DBT.
Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or related field.
Work location: Gurugram; Work Mode: Hybrid.
Experienced in managing large-scale cloud data environments specifically on Azure and Snowflake platforms.
Strong technical ownership of end-to-end data pipeline lifecycle including monitoring and optimization.
Skilled at translating complex business requirements into scalable, maintainable technical solutions in a collaborative, cloud-native setup.