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Senior-level, specialized Big Data/GCP stack reduces applicants despite recognizable brand and metro location.
Data engineering skills transferable across industries but Big Data and GCP specialization raises medium sensitivity.
Explicit 8+ years and mandatory Big Data/GCP/Scala/Spark skills make filtering strict and technical.
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Own backend data applications and services that support TransUnion's strategic Analytics platforms.
Deploy and implement advanced analytics environments including software and data services while collaborating with product owners on requirements.
Support environment optimization, troubleshooting, capacity planning, and assist in technology innovation activities such as research and prototyping.
Minimum 8 years of hands-on software development experience.
Proficiency in Cloud technologies, specifically GCP (BigQuery, DataProc) and Big Data technologies (Hadoop, Spark, Scala, Hive).
Experience with Java coding and design; Python preferred; strong SQL and database skills, including query optimization and data modeling.
Bachelor’s degree in Computer Science, Information Systems Management or equivalent experience; experience in Agile Scrum and CI/CD environments.
Experienced in operating within Agile teams developing large-scale, multi-Petabyte data platforms.
Skilled in integrating cloud-native Big Data tools and implementing automation in CI/CD pipelines for analytics environments.
Capable of collaborating with cross-functional teams including data scientists, product owners, and business resources to deliver and optimize data solutions.