Join a high-impact data engineering team where you’ll shape modern analytics platforms and help turn raw data into trusted, actionable insights. In this role, you’ll lead the design and delivery of scalable data pipelines on Databricks using PySpark, partnering closely with analysts, data scientists, and platform teams to enable faster decision-making across the business. You’ll bring strong engineering discipline—clean code, performance tuning, and reliable operations—while guiding best practices and mentoring teammates. If you enjoy solving complex data challenges, optimizing distributed workloads, and building systems that are resilient, secure, and easy to evolve, this is a great opportunity to drive meaningful outcomes in a collaborative, growth-focused environment.
Key Responsibilities:
Minimum Qualifications:
Technology->Analytics - Solutions->SQL Server - Analytics
Technology->Big Data - Data Processing->PySpark
Technology->Data Engineering->Databricks
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.
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