Join a data-driven team where your work with distributed processing helps turn complex datasets into meaningful insights. In this role, you’ll collaborate closely with engineers, analysts, and stakeholders to build reliable, scalable data solutions using Spark, contributing to faster decision-making and better customer outcomes. You’ll be encouraged to take ownership of deliverables, improve performance, and bring clarity to ambiguous problem statements through structured analysis and thoughtful implementation. If you enjoy solving large-scale data challenges, optimizing pipelines, and working in a collaborative environment that values learning and continuous improvement, this opportunity will help you grow your technical depth while making a visible impact across projects and teams.
Key Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
Good to have skills:
Hadoop, Hive, Kafka, Airflow, Delta Lake
Source: Infosys careers — Read the original posting and apply
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