Quick Summary
Overview
Senior Data Engineer – Python / AWS / Modern Data Platforms Key Responsibilities Build scalable data pipelines using Python and Spark/PySpark. Develop, debug, test,
Technical Tools
Data EngineerData
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.
Location & Eligibility
Where is the job
Bangalore, India
Remote within one country
Who can apply
IN
About this job
- Who can apply
- India
- Posted
- 21 days ago
Listing Details
- Posted
- October 12, 2026
- First seen
- October 13, 2026
- Last seen
- November 2, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 26%
- Scored at
- November 2, 2026
Signal breakdown
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External application
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