Senior Data Engineer – Python / AWS / Contemporary Data Platforms

Location - Gurgaon

Key Responsibilities
Build scalable data pipelines using Python and Spark/PySpark.
Develop, debug, test, and optimize production data solutions.
Work with Databricks, Snowflake, and up-to-date 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.
Solid 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior Data Engineer Bengaluru
🏢 Ness Digital Engineering
📍 Bengaluru