Description

You will architect and build data solutions for the platform, owning the design and maintenance of data pipelines and warehousing infrastructure.

This role is on-site.

Responsibilities

• Design and develop data pipelines and ETL processes using Snowflake on AWS.
• Implement data warehousing solutions for efficient storage, retrieval, and transformation of large datasets.
• Optimize Snowflake data warehouse performance and scalability to ensure high availability.
• Monitor, troubleshoot, and resolve data pipeline issues to maintain data quality and integrity.
• Collaborate with data analysts and scientists to define and fulfill data requirements.

Required Skills

• 5+ years of experience in data engineering, focused on Snowflake and AWS.
• Proficiency in SQL and Python.
• Hands-on experience with ETL tools such as DBT and Streamsets.
• Experience with Oracle RDBMS and migrating data to Snowflake.
• Familiarity with AWS services including S3, Lambda, Redshift, and Glue.
• Strong understanding of data warehousing concepts and data modeling.
• Understanding of orchestration solutions like Airflow.
• Deep knowledge of non-functional requirements including availability, scalability, and operability.

Key Skills

Education

Bachelor’s degree