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Infosys

PySpark Developer

Bangalore, India

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are looking for a skilled PySpark Developer with up to 3 years of experience in building and maintaining large-scale data processing pipelines. The ideal candidate should have hands-on experience in PySpark, Python, SQL, and Big Data technologies and be capable of developing efficient ETL workflows for enterprise data platforms.

Responsibilities

Design, develop, and maintain data pipelines using PySpark.

Develop ETL/ELT processes for ingesting, transforming, and loading large volumes of data.

Write optimized PySpark code for data processing and transformation.

Work with structured and semi-structured data from multiple sources.

Develop and optimize SQL queries for data extraction and validation.

Troubleshoot data quality and performance issues.

Collaborate with Data Engineers, Analysts, and Business teams to understand requirements.

Participate in code reviews and follow data engineering best practices.

Monitor and support production data pipelines.

Technical requirements

Strong experience in PySpark.

Good programming knowledge of Python.

Hands-on experience with SQL.

Understanding of ETL/ELT concepts and data warehousing.

Experience working with large datasets and distributed processing.

Knowledge of Spark SQL, DataFrames, and Spark transformations.

Familiarity with Linux/Unix environment.

Additional responsibilities

Exposure to cloud platforms such as AWS, Azure, or GCP.

Knowledge of Databricks.

Experience with workflow orchestration tools such as Airflow.

Understanding of CI/CD concepts.

Education

Bachelor Of Comp. Applications,Bachelor Of Computer Science,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology

Original posting on Infosys's site ↗

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