Data Engineer

Employment Type: Full-Time Employee (CLT)
Primary Skills: SQL, Python, Snowflake
Experience: 7+ years
About the Role
We are looking for a Data Engineer with strong proficiency in SQL, Python, and Snowflake to work on large-scale data environments.
The role involves developing and maintaining ELT/ETL pipelines, optimizing Snowflake objects and pipelines, supporting data-related automation, and working within Linux and containerized environments.
Requirements
Strong proficiency in SQL, including complex queries, performance tuning, and data modeling.
Hands-on experience with Snowflake, including schema design, optimization, warehousing best practices, and cost management.
Experience refactoring and optimizing Snowflake objects and pipelines for large-scale data environments.
Experience building and maintaining ELT/ETL pipelines using tools such as dbt, Apache Airflow, or similar.
Familiarity with AWS data services including RDS, S3, Aurora, and backup/restore mechanisms.
Working knowledge of Python for data pipeline scripting, automation, and tooling support.
Proficiency with Git and GitHub for version control, branching workflows, pull requests, and collaborative development.
Ability to work in Linux server environments, including file system navigation, shell scripting, and service management.
Familiarity with containerization technologies such as Docker across cloud and local environments.
Responsibilities
Build and maintain ELT/ETL pipelines.
Refactor and optimize Snowflake objects and pipelines for large-scale data environments.
Develop data pipeline scripting, automation, and tooling support using Python.
Work with AWS data services including RDS, S3, Aurora, and backup/restore mechanisms.
Manage development workflows using Git and GitHub.
Work within Linux server environments and support shell scripting and service management.
Work with Docker and containerized environments across cloud and local environments.
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