Data Engineer – Snowflake

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.