Job Description
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.
Numbers & Facts
| Location | Bangalore, India |
| Job Type | Full-time |
Skills
Amazon Web Services (AWS)unmatched
Cloud Computingunmatched
Data Managementunmatched
Debugging Skillsunmatched
Engineeringunmatched
Financial Servicesunmatched
Python Programming/Scripting Languageunmatched
Scalable System Developmentunmatched
Snowflake Schemaunmatched
Software Engineeringunmatched
Testingunmatched
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