Overview
We are looking for a Data Engineer – Snowflake to design, build, and optimize scalable cloud data solutions. The ideal candidate has strong experience with Snowflake, modern data pipelines, Python, SQL, and cloud platforms
Key Responsibilities
Design and implement scalable Snowflake data architectures.
Build and maintain ETL/ELT pipelines using Snowpipe, Snowpark, Streams & Tasks, and dbt.
Develop Snowflake-native applications, UDFs, and automation tools.
Optimize performance, cost, and security within the Snowflake platform.
Implement CI/CD, Infrastructure as Code, and data governance best practices.
Collaborate with engineering teams and support platform enhancements.
Requirements
5+ years of data engineering experience with hands-on Snowflake expertise.
Strong experience with Snowpark, Snowpipe, Streams & Tasks, SQL, and Python.
Experience with dbt and ETL/ELT tools such as Fivetran, Matillion, Airbyte, or StreamSets.
Knowledge of Terraform, CI/CD, and AWS, Azure, or GCP.
Strong understanding of data modeling, governance, and query optimization.
Nice to Have
Snowflake SnowPro Certification.
Experience with Tableau, Power BI, or Looker.
Knowledge of data lineage or catalog tools.
