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Senior, niche Azure+Snowflake role in metro attracts moderate applicant density.
Cloud data engineering skills are broadly transferable across industries despite tooling specificity.
Explicit 8+ years and mandatory Azure, ADF, Snowflake, DBT skills enforce strict shortlisting.
Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
Build and maintain data integration workflows and write optimized SQL queries to support business data requirements.
Monitor and ensure performance, reliability, data quality, governance, and documentation of data pipelines and workflows.
8+ years of experience in data engineering roles using Azure and Snowflake.
Strong experience with Azure Cloud Platform services, including Azure Data Factory for data pipeline orchestration.
Proficiency in SQL and hands-on experience with Snowflake, SnowSQL, and DBT for data warehousing and transformations.
Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Experienced with cloud-native, large-scale data environments and collaborating with cross-functional teams like data analysts, architects, and DevOps.
Capable of translating stakeholder business requirements into technical data solutions and maintaining data governance standards.
Comfortable working in hybrid work mode in Gurugram and handling end-to-end data pipeline lifecycle including monitoring and troubleshooting.