Snowflake, SQL, Azure Synapse and modern data engineering . The role involves designing scalable data pipelines, transformations and data warehouse solutions on Azure.
Key Responsibilities Design and develop data pipelines, ELT processes and transformations using Snowflake. Work extensively with
SQL, Snowflake and Azure Synapse . Build and maintain data warehouse and dimensional models including Star and Snowflake schemas. Develop batch and streaming data pipelines with orchestration. Implement version control using
Git and support basic CI/CD for data workloads. Establish data-quality, monitoring and observability practices. Design and consume
APIs and manage data contracts.
Work with Azure cloud data platforms and container/orchestration technologies. Collaborate with cross-functional teams to troubleshoot and optimize data solutions.
Required Skills 7–10 years of experience in
Data Engineering . Strong hands-on expertise in
SQL and Snowflake . Good knowledge of
Azure Synapse . Strong understanding of
Data Warehousing & Dimensional Modeling . Experience with
ELT/ETL, streaming pipelines and orchestration . Hands-on experience with
Git and CI/CD . Knowledge of data quality, monitoring and observability. Good understanding of APIs and data contracts
📌 Snowflake Technical Lead (Mumbai)
🏢 Talentmatics
📍 Mumbai
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