Data Engineer – Snowflake
Summary
Designs and builds scalable Snowflake-based cloud data pipelines and architectures using Python, SQL, and modern ETL tools.
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.
- 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.