Snowflake Data Engineer (AWS)

Job Role: Snowflake Data Engineer (AWS)

Job Location: Fort Mills SC (Hybrid - 4 times in a week)

Job Type: Full Time

Key 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.

Required Skills

• 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.
• DBT: Experience with DBT (Data Build Tool) for modeling data and creating data transformation pipelines is a plus.
• 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 serverless 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.
• Fivetran Move data from various sources into central data warehouse

Qualifications

• Bachelor's degree in Computer Science Engineering or related field.
• 10 years proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, DBT, fivetran
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Technical certifications are a plus.