US_East | Data Engineer_L3

Data Engineer (Snowflake/AWS/Python)

Location: Fort Mill, SC (Onsite)

Job Type: Contract 12+ Months (C2C/W2)

Job Description:

• 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.
• AWS services (Airflow): The candidate should have hands-on experience with AWS services, particularly Apache Airflow for orchestrating complex data workflows and pipelines.
  AWS services (Lambda): Proficiency in AWS Lambda for server less computing and event-driven architecture is essential for this role.
• AWS services (Glue): The candidate should be well-versed in AWS Glue for ETL (Extract, Transform, Load) processes and data integration.
• Python: Strong programming skills in Python are required for developing data pipelines, data transformations, and automation tasks.

• Experience with DBT (Data Build Tool) for modeling data and creating data transformation pipelines is a plus.
  
  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 data-related issues in a timely manner.
• Stay updated on the latest technologies and best practices in data engineering.

Qualifications:

• Bachelor's 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 problem-solving skills.
• Excellent communication and teamwork abilities.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty) are a plus.