Data Engineer - Snowflake
RackspacePosted 4/21/2025
Data Engineer - Snowflake
Rackspace
Job Location
Job Summary
We are seeking a Data Engineer with expertise in Snowflake and Snowpark to join our team. The successful candidate will participate in migrating Datastage jobs, perform unit testing, and document code processes. They should have experience with Airflow, scripting languages like Python, and strong problem-solving skills. Our ideal candidate is comfortable working remotely within the India Time Zone and has excellent communication and collaboration skills. With a focus on delivering impactful features, this role offers opportunities for growth and development in a fast-growing company.
Job Description
Responsibilities
· Participate in the migration of Datastage jobs to Snowpark. Reverse engineer the logic of existing Datastage jobs and translate them accurately into Snowpark.
· Perform thorough unit testing of developed Snowpark code to ensure functionality and data quality.
· Use airflow for orchestration of Snowpark jobs
· Perform unit testing and parallel run testing, comparing the output of migrated Snowpark jobs with the original Datastage jobs using production data in the development environment.
· Document developed code and processes as required.
· Work remotely and effectively within the India Time Zone.
Qualifications
Required Skills and Experience
· Bachelor's degree in Computer Science, Engineering, or a related field.
· 5 yrs of experience in Snowflake and 24 months experience in Snowpark
· Experience in Airflow
· Experience with Snowflake on Azure
· Experience with at least one ETL/ELT tool (Datastage experience is a significant plus).
· Solid understanding of SQL and data warehousing concepts.
· Familiarity with scripting languages such as Python.
· Ability to understand and translate existing data processing logic.
· Strong problem-solving and analytical skills.
· Excellent communication and collaboration skills, comfortable working in a remote team environment.
· Ability to work independently and manage tasks effectively within deadlines.
