Senior Snowflake Data Engineer

Key Responsibilities

Design, develop, and maintain scalable data pipelines using AWS services and Snowflake.

Build and manage data transformation workflows using dbt.

Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, reliable, and well-documented datasets.

Optimize Snowflake performance through clustering, partitioning, and query tuning.

Implement data quality checks, testing, and documentation within dbt.

Automate data workflows and integrate with CI/CD pipelines.

Ensure data governance, security, and compliance across cloud platforms.

Required Skills & Qualifications

Strong experience with Snowflake (data modeling, performance tuning, security).

Proficiency in dbt (models, macros, testing, documentation).

Solid understanding of AWS services such as S3, Lambda, Glue, and IAM.

Experience with SQL and scripting languages (e.g., Python).

Familiarity with version control systems (e.g., Git) and CI/CD tools.

Strong problem-solving skills and attention to detail.