Snowflake Engineer

Tekskills Inc.; Delhi; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Tekskills Inc. is seeking a Snowflake Engineer to design, build, and maintain scalable analytics data platforms across Bangalore, Hyderabad, and Pune.

You will develop data models and transformations with dbt, build data warehouses on Snowflake, and write high-performance SQL queries to support BI and analytics use cases. The role emphasizes data quality, governance, and secure deployments, with CI/CD and version control integrated into the data stack.

Qualifications

• 4-8 years of experience in data engineering or analytics engineering.
• Strong expertise in Snowflake, dbt, and SQL.
• Experience with data governance and security practices.

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.

Skills

Snowflake

dbt

SQL

Analytics engineering

Data modeling

Tools

Git

CI/CD

Job description

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, high`performing analytical data platforms. The role focuses on transforming raw data into reliable, analytics`ready 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