Snowflake Data Engineer — AWS, Snowpark & DBT Pipelines

Capgemini; Columbia (SC); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare (Medical, Dental, Vision)

Job summary

Capgemini is seeking a senior data engineer to design, build, and optimize scalable ETL pipelines using Snowflake and AWS services. You will work with data scientists and analysts to deliver reliable data for business insights.

Strong Python and SQL skills, DBT modeling experience, and a cloud-first mindset are required. Fort Mill, SC - hybrid onsite role with opportunities to influence data strategy.

Qualifications

• Bachelor's degree in CS/engineering or related field.
• Proven data engineering experience with Snowflake and AWS.
• Strong SQL and data warehousing knowledge.

Responsibilities

• Design, develop, and maintain data pipelines and ETL.
• Collaborate with data scientists and analysts to meet data needs.
• Optimize workflows for performance, scalability, and reliability.
• Troubleshoot data issues and ensure data quality.

Skills

Python

SQL

Data modeling

ETL design

Cloud services

Problem solving

Teamwork

Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Tools

Snowpark

DBT

Fivetran

Airflow

AWS Glue

Lambda

Snowflake

Job description

Capgemini is seeking a senior data engineer to design, build, and optimize scalable ETL pipelines using Snowflake and AWS services. You will work with data scientists and analysts to deliver reliable data for business insights.

Strong Python and SQL skills, DBT modeling experience, and a cloud-first mindset are required. Fort Mill, SC - hybrid onsite role with opportunities to influence data strategy.