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Known global brand, mid-level 3–6yrs, metro location, and broad Spark/Java/GCP skillset increases competition.
Core Spark, Java, and cloud skills are readily transferable across industries.
Explicit 3–6 years plus mandatory Java, Spark, and cloud experience tightens shortlisting.
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Lead migration of batch processing workloads from on-premises infrastructure to the OneTru GCP cloud portal.
Develop and maintain a scalable and resilient batch processing platform that supports enterprise-scale data volumes.
Automate and standardize management of batch triggers and Logical Flow Engine configurations to improve operational efficiency and reduce time-to-market.
3 to 6 years of IT industry experience with at least 3 years in Java and related technologies.
At least 2 years of hands-on experience with Spark, Hadoop, and big data technologies.
Experience with cloud platforms is mandatory; hands-on experience with GCP preferred, AWS or Azure acceptable.
Technical skills required: Spark, Java, Spark SQL, Vue.js, Microservices, Python, Hive, PostgreSQL; basic AI knowledge and adoption skills are also required.
Hybrid work model requiring minimum two days per week in a TransUnion office location.
Experience working on large-scale batch data processing platforms in credit or similar domains.
Strong focus on automation and operational efficiency in cloud-based environments, particularly GCP.
Comfortable working in a globally distributed team supporting continuous production operations and platform evolution.