Join a team where data is treated as a product and engineering craftsmanship matters. In this role, you’ll help build and optimize reliable data processing solutions that turn raw, messy inputs into clean, trusted datasets ready for analytics and downstream applications. You’ll collaborate closely with engineers, analysts, and stakeholders to understand data needs, improve data quality, and deliver pipelines that are scalable and easy to maintain. If you enjoy solving real-world data challenges, writing clean Python code, and taking ownership of end-to-end data workflows—from ingestion to transformation and delivery—this is a great opportunity to grow your impact. You’ll work in a supportive environment that values learning, thoughtful problem-solving, and continuous improvement while delivering meaningful outcomes through data.
Key Responsibilities:
Minimum Qualifications:
PYTHON DATA PROCESSING, DATAPIPELINE, ETL Pandas, NumPy, Apache Airflow, PySpark, Data Quality Frameworks
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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