Snowflake Data Engineer: DBT & AWS Pipelines (Hybrid)

Capgemini

Columbia (SC)

Hybrid

USD 80,000 - 106,000

Full time

29 hours ago

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Benefits offered by this job

Flexible work

Healthcare with dental/vision/mental

401(k)

Paid time off

Parental leave

Job summary

Capgemini in Fort Mill, SC is seeking a data engineering professional to design, develop, and optimize scalable ETL pipelines using Snowflake, AWS, Python, and DBT. You will collaborate with data scientists and analysts to define data requirements and ensure reliable, high-quality data delivery for business users.

The role emphasizes hands-on development with Snowpark, AWS Glue, Airflow, and Lambda, and requires strong SQL and data warehousing knowledge.

Qualifications

Bachelor's degree in CS, Engineering, or a related field.
3 years of experience with AWS Glue and other AWS data services.
Experience designing and maintaining ETL processes.
Strong SQL and database management knowledge.
Experience with Snowflake, Python, and DBT.
Familiarity with data warehousing concepts and tools.
Excellent problem-solving and teamwork skills.

Responsibilities

Design, develop, and maintain data pipelines and ETL using Snowflake, AWS, Python, and DBT.
Collaborate with data scientists and analysts to meet data needs.
Optimize data workflows for performance and scalability.
Troubleshoot data-related issues promptly.
Document data workflows and processes in detail.
Stay updated on AWS services and best practices.
Design scalable ETL solutions with AWS Glue.
Develop and manage data extraction, transformation, and loading.
Monitor and troubleshoot ETL jobs.
Ensure data quality and integrity during transformation.
Collaborate with data engineers to understand requirements.
Maintain robust data pipelines for reliability.