Senior Snowflake Data Engineer

Capgemini
Atlanta, GA
Job Description
Role Overview

We are seeking a highly skilled Snowflake Data Engineer with strong experience in designing, developing, and optimizing cloud-based data solutions. The ideal candidate will have hands-on expertise in Snowflake, SQL, data modeling, ETL/ELT pipelines, and cloud platforms (AWS, Azure, or GCP).

What You Will Do

Develop and maintain ETL/ELT pipelines in Snowflake, design data models and optimize performance, implement Snowflake features such as Snowpipe, Streams, Tasks, and Snowpark, support cloud data architecture, governance, security, and best practices.

Why It Might Be a Fit

The ideal candidate will have strong Snowflake expertise, Python and ETL/ELT development experience, data modeling skills, experience with Azure/AWS/GCP and orchestration tools, SnowPro Certification, and exposure to Data Governance and Cloud Data Architecture.

Requirements

  • Strong Snowflake expertise (SQL, performance tuning, security, data sharing)
  • Python and ETL/ELT development experience
  • Data modeling (Star Schema, Snowflake Schema, Data Vault)
  • Experience with Azure/AWS/GCP and orchestration tools (ADF, Airflow, Informatica)
  • SnowPro Certification
  • Exposure to Data Governance and Cloud Data Architecture

Benefits

  • Paid time off (12-25 days, depending on grade)
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
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