Ness Digital Engineering Careers

Description

Senior Data Engineer – Python / AWS / Modern Data Platforms

Key Responsibilities 

• Build scalable data pipelines using Python and Spark/PySpark.
• Develop, debug, test, and optimize production data solutions.
• Work with Databricks, Snowflake, and modern data platforms.
• Build and deploy solutions on AWS.
• Apply strong software engineering and coding practices.

Required Skills 

• ~5 years of hands-on Data Engineering experience.
• Strong Python-first programming and debugging skills.
• Hands-on Spark/PySpark experience.
• Experience with AWS and Databricks/Snowflake.
• Production experience building and supporting data pipelines.

Good to Have 

• Financial Services domain experience.
• Dagster or other data orchestration platforms.
• Cloud-native data engineering experience.