Snowflake Engineer

Tekskills Inc.; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills Inc. seeks a Snowflake Engineer to design and maintain analytics data platforms using Snowflake, dbt, and SQL. The role focuses on building reliable, analytics-ready datasets for BI, reporting, and advanced analytics, in a multi-city India setup (Bangalore, Hyderabad, Pune).

You will optimize Snowflake performance, implement CI/CD for dbt, and collaborate with data teams to deliver scalable data solutions while ensuring data governance and security standards.

Qualifications

• Strong expertise in Snowflake, dbt, and SQL.
• Experience building scalable analytics data platforms.
• Knowledge of ELT and modern data stack concepts.

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

Data modeling

Data warehousing

Cost optimization

Performance tuning

CI/CD

Tools

Power BI

Tableau

Looker

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