Big Data & Spark Development
Develop and maintain data processing pipelines using Apache Spark (PySpark & Scala)
Work with Spark DataFrames, RDDs, and Spark SQL
Implement transformations, joins, aggregations, and optimizations
Tune Spark jobs for performance, scalability, and reliability
Python & Scala Programming
Write clean, efficient, and scalable code in Python and Scala
Develop modular and reusable components
Integrate data pipelines with various applications and APIs
ETL & Data Engineering
Design and build ETL workflows for structured and unstructured data
Extract data from multiple sources (databases, APIs, flat files)
Perform data cleansing, transformation, and validation
Ensure data accuracy, consistency, and completeness
Data Platforms & Integration
Work with Hadoop ecosystem (HDFS, Hive, Spark)
Handle large datasets in data lakes and warehouses
Process data in formats like Parquet, ORC, JSON, CSV
Collaboration & Support
Work with data engineers, analysts, and business stakeholders
Troubleshoot pipeline issues and provide production support
Participate in Agile/Scrum processes
Maintain technical documentation
Core Skills
2–5 years of experience in Python development
Hands-on experience with Apache Spark (PySpark and/or Scala)
Strong understanding of data processing and ETL concepts
Good knowledge of SQL and relational databases
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
Upload your CV once — we read it, build your profile and put you in front of every employer hiring on Kaam Ki Khoj. No forms, no fees.
