Python + ETL + PySpark Developer

Infosys Limited is looking for an analytical Python + ETL + PySpark Developer to join its Data & Analytics Unit in Hyderabad, Telangana. The core purpose of this engineering post is to build scalable data processing frameworks, optimize enterprise ETL pipelines, and manipulate high-volume data architectures to deliver reliable insights for global business initiatives.

Core day-to-day administrative and programming responsibilities involve extracting, transforming, and loading data from structured and unstructured sources into cloud data lakes and enterprise warehouses (such as S3, HDFS, Redshift, and Hive). The developer will write modular Python scripts, construct custom workflow automations, and configure advanced PySpark jobs utilizing Spark DataFrames or RDDs. Additionally, the engineer will manage strict data cleansing benchmarks, optimize query performance, handle optimized storage file formats like Parquet and ORC, and resolve technical data validation gaps.

Furthermore, the position focuses on collaborative development within an Agile framework. The developer will partner alongside data engineers or business analysts, actively participate in Scrum ceremonies, debug runtime operational pipeline errors, and maintain comprehensive technical configuration manuals. Ideal candidates must present 2 to 3 years of hands-on data engineering background, showcase a solid mastery of relational database concepts, and demonstrate excellent team-oriented communication skills.