About the job:
Join a collaborative data engineering team where your work directly powers reliable analytics and smarter business decisions. In this role, you’ll build and optimize scalable data processing pipelines using PySpark and Spark, working closely with engineers, analysts, and stakeholders to turn raw data into trusted, high-quality datasets. You’ll be encouraged to take ownership, suggest improvements, and contribute to a culture that values clean engineering, performance, and continuous learning. If you enjoy solving data challenges, tuning distributed jobs, and delivering dependable solutions in a fast-moving environment, this is a great opportunity to grow your impact while working with modern big data technologies.
Key Responsibilities:
Minimum Qualifications:
Good to have skills:
SQL, Hadoop, Hive, Kafka, Airflow
Preferred Qualifications:
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
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