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Specialized big-data/GCP lead role at a known company in Pune reduces broad applicant density.
Core big-data, Java and GCP skills are transferable but credit/batch domain experience increases sensitivity.
Explicit 8–12 years and mandatory Java, Spark, and GCP skills enforce strict filters.
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Lead migration from on-premises infrastructure to OneTru GCP cloud platform for US Credit Batch processing.
Design and deliver scalable, resilient batch processing platform to handle enterprise-scale, petabyte-level credit data workloads.
Automate and standardize management of batch triggers and daily Logical Flow Engine (LFE) configurations using AI to improve operational efficiency and time-to-market.
8 to 12 years of IT industry experience, with minimum 8 years in Java and related technologies.
At least 2 years of experience with Spark, Hadoop, and big data technologies.
Mandatory cloud experience with hands-on expertise in GCP (preferred) or AWS/Azure.
Required technical skills include Spark, Java, Spark SQL, Vue.js, Microservices, Python, Hive, and PostgreSQL; basic AI knowledge is also needed.
Experienced senior engineer comfortable working in hybrid model with distributed teams across India and the US.
Strong background in scalable batch processing and cloud migration projects, specifically in the credit or financial data domain.
Proficient in integrating AI for automation within complex batch ecosystems processing large-scale financial data.