Senior Data Engineer
Ness Digital Engineering
About The Position
The Senior Data Engineer builds and supports production data solutions using Python, Spark/PySpark, AWS, Databricks, Snowflake, and modern data platforms. The role involves developing, debugging, testing, and optimizing scalable data pipelines while applying strong software engineering and coding practices.
Requirements
- Approximately 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 or Snowflake.
- Production experience building and supporting data pipelines.
Nice To Haves
- Financial Services domain experience.
- Experience with Dagster or other data orchestration platforms.
- Cloud-native data engineering experience.
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.
- Build and support production data pipelines.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
