Snowflake Engineer

Job highlights

• 4-8 years experience with Snowflake, dbt, and advanced SQL; knowledge of cloud platforms (AWS, Azure, GCP) and BI tool integration
• Design and optimize data models and transformations using dbt; build and manage Snowflake data warehouses; develop complex SQL queries; implement data quality checks; collaborate with stakeholders; optimize performance and cost; maintain reliable data pipelines; manage CI/CD workflows; ensure data governance and compliance

Snowflake Engineer

Location: Bangalore, Hyderabad, Pune

Experience: 4-8 years

Shift Timing: UK Shift

Job Description:
We are seeking a highly skilled Data / Analytics Engineer with strong expertise in Snowflake, dbt, and SQL to design, build, and maintain scalable, highperforming analytical data platforms. The role focuses on transforming raw data into reliable, analyticsready datasets that support business intelligence, reporting, and advanced analytics use cases.

Key Responsibilities
Design, develop, and optimize data models and transformations using dbt following analytics engineering best practices.
Build and manage scalable cloud data warehouse solutions on Snowflake.
Develop complex, high€performance SQL queries for data transformation, analysis, and reporting. Implement data quality checks, testing, and documentation using dbt tests and exposures. Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into analytics€ready datasets.
Optimize Snowflake performance using clustering, warehouse sizing, caching, and cost€`control techniques.
Manage and maintain data pipelines ensuring reliability, accuracy, and timeliness.
Implement version control, CI/CD, and deployment workflows for dbt models.
Troubleshoot data issues and perform root cause analysis across the data stack.
Ensure adherence to data governance, security, and compliance standards.

Preferred Qualifications
Experience integrating Snowflake with BI tools such as Power BI, Tableau, or Looker.
Exposure to cloud platforms like AWS, Azure, or GCP.
Knowledge of semi€`structured data formats (JSON, Parquet) in Snowflake.
Understanding of ELT architecture and modern data stack concepts.
Experience with cost optimization and performance tuning in Snowflake