Job Role

We are looking for a Lead Data Engineer to drive the design, development, and scaling of our enterprise modern data platform. In this role, you will be the technical authority for our core data stack—leveraging Azure as our cloud backbone, Snowflake for data warehousing, and dbt (data build tool) for transformations and data modeling. You will manage a team of data engineers, direct data architecture strategies, and establish rigorous software engineering practices (CI/CD, automated testing, version control) across our data pipelines.

Technical Must-Haves:

8+ years of total experience in Data Engineering, Data Warehousing, or Analytics Engineering.

3+ years of hands-on expertise building and managing Snowflake (Clustering, Tasks, Streams, Snowpipe, Zero-Copy Clone, Resource Monitors).





3+ years of expert-level dbt experience (productionizing dbt Cloud/Core, macro writing, custom test packages, semantic layer configuration).

3+ years working with Microsoft Azure services (ADLS Gen2, Azure Data Factory, Azure Key Vault, Azure Active Directory / Entra ID, Azure DevOps).

Advanced SQL proficiency (window functions, query profiling, complex optimizations) and solid Python/PySpark development skills.

Demonstrated experience with CI/CD tools (Git, GitHub, Azure DevOps) and infrastructure automation.

Required skills

Azure, ADF, snowflake, DBT, fivetran, SQL, Python, Pyspark, ETL

📌 Assistant Manager - Data Engineering (Chennai)
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📍 Chennai