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Pune · On-site · 5-8 Yrs · Oct 20
62 open roles1 posted in 7d62 in 30d
Hiring: Engineering
Job description
Overview
Location: Pune / Chennai / Bangalore/Delhi NCR Experience: 3.5+ years
Responsibilities
- Design and develop scalable data pipelines using PySpark
- Build and maintain data solutions on Databricks platform
- Work with AWS services for data storage, processing, and orchestration
- Optimize data workflows for performance, scalability, and reliability
- Collaborate with cross-functional teams (data analysts, scientists, stakeholders)
- Ensure data quality, integrity, and governance standards
Qualifications
- Job Summary:
- We are looking for a Data Engineer with strong expertise in AWS, PySpark, and Databricks. The ideal candidate will design, build, and optimize scalable data pipelines and work on large-scale distributed data processing systems.
- 5+ years of experience in Data Engineering
- Bachelors/Masters degree in Computer Science, Engineering, or related field
- Strong problem-solving and analytical ability
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Job application FAQ
Last updated 21 October 2026
- How do I apply for Aws & Pyspark Data Engineer Immediate Joiners Only Pune at EY?
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- Does Feedback AI show a match score for this Aws & Pyspark Data Engineer Immediate Joiners Only Pune role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Aws & Pyspark Data Engineer Immediate Joiners Only Pune remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Aws & Pyspark Data Engineer Immediate Joiners Only Pune role at EY?
- This is a mid-level Aws & Pyspark Data Engineer Immediate Joiners Only Pune role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.