Description

• Support the existing backend/data pipeline infrastructure.
• Work on ETL pipelines.
• Automate portions of the existing conversion process.
• Help maintain platform stability.
• Support planned technology/network upgrades.
• Potentially work on APIs when needed.
• Build applications around existing data pipelines rather than creating the underlying data models.

4. Technical Environment
Required / Most Important
• Python
• AWS
• PySpark
• ETL development
• Backend/application development
• SQL knowledge
• Asynchronous processing concepts
AWS / Data Technologies
The team uses:
• AWS
• AWS Glue
• Snowflake
• Spark / PySpark

Key Skills

Education

Bachelor's degree