We're Hiring | Snowflake Data Engineer | Pan India

We are looking for experienced Snowflake Data Engineers to join our growing team. The ideal candidate should have strong hands-on experience in cloud data warehousing and ELT solutions on the Snowflake Data Cloud, supporting scalable pipelines, dimensional/data-vault modelling, and legacy warehouse migration for BFSI clients.

Location

Pan India

Experience

5–10 Years (role-dependent), including 3+ years hands-on Snowflake

Employment Type

Full-time

Key Responsibilities

Strong experience and understanding of Data Warehouse and Data Lake platform architecture and design.
Design and build scalable ELT pipelines and data models on Snowflake using SQL, DBT, and Python.
Develop data warehousing solutions (star schema, SCD, Data Vault) supporting enterprise analytics and reporting.
Implement Snowflake-native features — Snowpipe, Streams & Tasks, Time Travel, Data Sharing, and Cortex AI functions.
Lead/support migrations from legacy platforms (Teradata, Oracle, Exadata, GreenPlum, Hadoop) to Snowflake.
Optimise workloads through warehouse sizing, query tuning, clustering, and cost-management best practices.
Implement data security and governance — dynamic masking, RBAC, row/column-level security, and secure data sharing.
Build CI/CD and automation for Snowflake deployments using DBT, Liquibase, and Git-based pipelines.
Integrate Snowflake with ETL tools (Informatica, DataStage, Matillion) and BI tools (Power BI, Tableau).

Mandatory Skills

Snowflake Data Cloud (multi-cloud: AWS/Azure/GCP)
SQL, PL/SQL, Python; DBT for transformations
ELT pipeline design & data modelling (Star, SCD, Data Vault)
Snowpipe, Streams & Tasks, Time Travel, Data Sharing
Warehouse sizing, query tuning & cost optimisation
Data security & governance (masking, RBAC)

Good to Have

Migration from Teradata/Oracle/Exadata/GreenPlum
ETL tools — Informatica, IBM DataStage, Matillion
CI/CD — DBT, Liquibase, Git-based deployments
BI & visualisation — Power BI, Tableau, Streamlit
Cloud services — AWS S3, Azure, Snowpark
Snowflake Cortex AI/GenAI for data

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