Infosys
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Noida · On-site · 2-5 Yrs · Oct 20
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
Role & Responsibilities
Responsibilities
- Design and develop scalable data pipelines using PySpark.
- Build ETL workflows and data transformation solutions.
- Process large-scale structured and unstructured datasets.
- Develop and optimize Spark applications for performance.
- Work with SQL and Spark SQL for data analysis and processing.
- Ensure data quality, scalability, and reliability.
- Troubleshoot and resolve data pipeline issues.
- Collaborate with business and technical teams.
- 2-5 years of experience in Data Engineering.
- Strong hands-on experience with PySpark and Apache Spark.
- Strong Python programming skills.
- Good SQL knowledge.
- Experience in ETL and Big Data technologies.
- Exposure to Databricks, Hadoop, or Hive is preferred.
- Strong analytical and problem-solving abilities.
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Job application FAQ
Last updated 26 October 2026
- How do I apply for PySpark Data Engineer at Infosys?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Infosys may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this PySpark Data Engineer 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 PySpark Data Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this PySpark Data Engineer role at Infosys?
- This is a mid-level PySpark Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.