Experience: 512 Years

Location: Pune

Drive Type: Walk-in Drive

Date: 12th September 2026

We are looking for experienced Snowflake + dbt Developers with solid expertise in cloud data warehousing, data transformation, SQL, and up-to-date data engineering practices. The ideal candidate should have hands-on experience building scalable data pipelines and transformation workflows using Snowflake and dbt.

Key Responsibilities
Develop and maintain scalable data solutions using Snowflake.
Design, develop, and optimize complex SQL queries, views, tables, and stored procedures.
Build and maintain data transformation pipelines using dbt (Data Build Tool).
Develop dbt models, incremental models, snapshots, tests, macros, and reusable transformations.
Implement data quality checks and data validation using dbt testing frameworks.
Work with dbt documentation, lineage, dependencies, and source/target configurations.
Perform performance tuning and optimization of Snowflake workloads.
Develop and maintain ETL/ELT pipelines for integrating data from multiple sources.
Implement data cleansing, transformation, aggregation, and business logic.
Collaborate with Data Engineers, Data Analysts, Architects,



and business stakeholders.
Troubleshoot data pipeline failures, data quality issues, and performance problems.
Follow best practices for data modeling, development, testing, and deployment.
Use Git and CI/CD practices for managing and deploying data transformation code.

Required Skills
5–12 years of experience in Data Engineering / Data Warehousing.
Robust hands-on experience with Snowflake.
Strong hands-on experience with dbt.
Excellent SQL skills.
Experience in ETL/ELT development.
Good understanding of data warehousing concepts.
Experience with dimensional data modeling – Star Schema, Snowflake Schema, facts and dimensions.
Experience with dbt models, tests, snapshots, macros, sources, and incremental loads.
Knowledge of Snowflake performance optimization, warehouses, stages, streams/tasks, and data loading.
Experience with Git/version control.
Good understanding of data quality, data governance, and data validation.
Exposure to cloud platforms such as AWS, Azure, or GCP is an added advantage.
Experience with Python or any ETL/data integration tool is a plus.

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