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Established brand, mid-level generalist data role, metro location, and broad skillset increase candidate competition.
Core big-data, Java and cloud skills are transferable, though credit-domain batch experience adds some specificity.
Explicit 3–6 years plus mandatory Java, Spark, and cloud/GCP experience creates stringent filtering criteria.
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Lead migration of batch processing workloads from on-premises infrastructure to OneTru GCP cloud platform.
Develop and maintain a scalable, resilient batch processing platform handling enterprise-scale data volumes.
Automate and standardize management of batch triggers and Logical Flow Engine (LFE) configurations using AI to improve operational efficiency and business time-to-market.
3 to 6 years of IT industry experience.
At least 3 years of professional experience with Java and related technologies.
Minimum 2 years experience working with Spark, Hadoop, and big data technologies.
Hands-on cloud experience required; preferably with GCP, though AWS experience is acceptable.
Hybrid work model requiring minimum two days per week in-person at assigned office location.
Experienced in enterprise-scale batch data processing within Credit or related domains handling large data volumes.
Skilled in developing cloud-native batch applications using Java, Spark, and GCP services.
Able to apply AI-based automation for operational workflows and batch scheduling optimizations.