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Metro Hyderabad, broad big-data skillset and common early-career title increase applicant competition.
Big-data engineering skills are transferable across industries but require specific tooling experience.
Mandatory Java, Spark, Hadoop and explicit 2-year minimum enforce strict technical filtering.
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Develop, test, and deploy scalable data pipelines using Hadoop, HDFS, Spark, Scala, Python, and Java within AWS and GCP cloud environments.
Design and implement data models, SQL queries, and maintain data infrastructure for efficient data processing and analysis.
Collaborate with data scientists, analysts, and engineers to deliver data solutions, perform code reviews, troubleshoot pipeline issues, and document systems.
Bachelor's degree in Computer Science, Engineering, or related field.
Minimum of 2 years of experience in software development with strong Java proficiency.
Experience with Big Data technologies including Hadoop, HDFS, Spark, Scala, and Python; experience in cloud environments (AWS or GCP).
Hybrid work setup requiring at least two days per week onsite at assigned TransUnion office location.
Experienced in building scalable data pipelines and working across multiple big data technologies and languages (Java, Scala, Python).
Comfortable working in cloud environments like AWS and GCP and familiar with Unix/Linux.
Able to collaborate effectively with cross-functional teams (data scientists, analysts, engineers) and adhere to code quality standards through reviews.