PySpark Data Engineer

TymblHub; Pune District; On-site; INR 1,040,000 - 1,550,000; Full time

Job summary

Infosys in Pune, India is seeking a PySpark Data Engineer to design and develop scalable data pipelines using PySpark and Spark SQL. The role focuses on ETL workflows, processing large-scale datasets, and delivering reliable data solutions.

You will optimize Spark applications for performance, collaborate with business and technical teams, and ensure data quality, scalability, and reliability across the data platform. 2-5 years of data engineering experience is preferred.

Qualifications

• 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.

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.

Skills

PySpark

Apache Spark

Python

SQL

ETL

Hadoop/Hive

Tools

Databricks

Hadoop

Hive

Job description

# PySpark Data EngineerInfosysPosted on October 23, 2026---Experience2 - 5 yrsSalary (CTC)₹10.4L - ₹15.5LJob LocationPune, IndiaVacancy20DesignationPyspark DeveloperJob TypeNot specified---## Job Description**Role & 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.**Preferred Candidate Profile*** 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.---### KeywordsApache Spark---About the company## InfosysIT Services & Consulting · Indian MNCInfosys is a global leader in next-generation digital services and consulting.Bengaluru/Bangalore, Karnatakainfosys.com