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.
