C2C Hiring – Data Engineer (Snowflake, AWS) – Fort Mill, SC

Tech Mirrors; Fort Mill (SC); On-site; USD 120,000 - 150,000; Full time

Job summary

Tech Mirrors is seeking a Data Engineer to design and maintain data pipelines using Snowflake, AWS, and Python in Fort Mill, SC, on-site. The role emphasizes building scalable ETL processes and robust data models for analytics.

You will collaborate with data scientists and analysts, implement DBT transformations, orchestrate workflows with Airflow, and ensure data quality and reliability across the data stack in a fast-moving environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven data engineering experience with Snowflake, AWS, and Python.
• Strong SQL knowledge and analytical problem-solving skills.
• Experience with DBT and data warehousing concepts.
• Excellent communication and teamwork abilities.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Collaborate with data scientists and analysts to define data requirements.
• Optimize data workflows for performance 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.

Skills

Python

SQL

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Information Technology or related field

Tools

Snowflake Snowpark

DBT

Apache Airflow

AWS Lambda

AWS Glue

Fivetran

HVR

Job description

Role: Data Engineer (Snowflake, AWS)

Location: Fort Mill, SC / ONSITE

Duration: Long Term Project

Experience: 10+

Job Role and Responsibilities:

• 1 Snowflake Snowpark The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics
• 2 DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus
• 3 AWS services Airflow The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines
• 4 AWS services Lambda Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role
• 5 AWS services Glue The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration
• 6 Fivetran HVR Working knowledge and handson experience on Fivetran HVR
• 7 Python Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks

Responsibilities:

• 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 datarelated 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
• Collaborate with data engineers and analysts to understand data requirements
• 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

Qualifications:

• Bachelors degree in Computer Science Engineering or related field
• Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT
• Strong analytical and problemsolving skills
• Excellent communication and teamwork abilities
• Technical certifications are a plus
• Bachelors degree in Computer Science Information Technology or a related field
• 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 problemsolving and analytical skills
• Strong communication and teamwork abilities