C2C – Data Engineer; Snowflake, AWS – Fort Mill, SC

Role

Data Engineer (Snowflake, AWS) –

Location:

Fort Mill, SC / ONSITE – Duration:
Long Term Project –

Experience:

10+

Responsible for designing, developing and maintaining scalable data pipelines and ETL processes using AWS Glue. This role involves working closely with data engineers, analysts and other IT professionals to ensure data is efficiently integrated, transformed and made available for business use.

• Snowflake Snowpark – deep understanding of Snowflake data warehousing platform and proficiency in Snowpark for data processing and analytics.
• DBT Experience – use DBT Data Build Tool for modeling data and creating data transformation pipelines.
• AWS services Airflow – hand‑on experience with Apache Airflow for orchestrating complex data workflows and pipelines.
• AWS services Lambda – proficiency in AWS Lambda for serverless computing and event‑driven architecture.
• AWS services Glue – well‑versed in AWS Glue for ETL (Extract, Transform, Load) processes and data integration.
• Fivetran HVR – working knowledge and hand‑on experience with Fivetran HVR.
• Python – strong programming skills in Python for developing data pipelines, data transformations and automation tasks.

• Design, develop and maintain data pipelines and ETL processes using Snowflake, AWS services, Python, and DBT.
• Collaborate with data scientists and analysts to understand data requirements and implement solutions.
• Optimize data workflows for performance, scalability, and reliability.
• Troubleshoot and resolve data‑related issues in a timely manner.
• Stay updated on the latest technologies and best practices in data engineering.
• Design and implement scalable ETL solutions using AWS Glue.
• Develop and manage data extraction, transformation and loading processes.
• Optimize and improve existing data pipelines and ETL workflows.
• Ensure data quality and integrity during the transformation process.
• Monitor and troubleshoot issues with ETL jobs.
• Maintain detailed documentation of data workflows and processes.
• Stay updated with the latest AWS services and tools.

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related field.
• Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python and DBT.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.
• Technical certifications are a plus.
• 3+ years of experience working with AWS Glue and other AWS data services.
• Proven experience in designing and maintaining ETL processes.
• Strong knowledge of SQL and database management.
• Familiarity with data warehousing concepts and tools.
• Experience with Python or other scripting languages.
• Excellent problem‑solving and analytical skills.
• Strong communication and teamwork abilities.