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Mid-level metro role with broad big-data/GCP requirements at a known global employer drives high competition.
Core big-data and cloud engineering skills are highly transferable across industries.
Explicit 3–6 years plus mandatory Java, Spark and cloud experience creates strict shortlisting filters.
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Lead migration of batch processing from on-premises to OneTru GCP cloud portal.
Build and maintain a scalable, resilient batch processing platform handling enterprise-scale data volumes.
Automate and standardize management of batch triggers and Logical Flow Engine configurations using AI to improve operational efficiency and reliability.
3 to 6 years of IT industry experience.
Minimum 3 years experience in Java and related technologies.
Minimum 2 years experience with Spark, Hadoop, and big data technologies.
Hands-on cloud experience required, preferably GCP; AWS acceptable but GCP preferred.
Experienced in developing and managing large-scale batch data processing systems in the credit or financial domain.
Skilled in Java, Spark, Spark SQL, and familiar with microservices, Python, Hive, and PostgreSQL.
Comfortable working in a hybrid environment supporting continuous operations across India and US, with capability to leverage AI for automation in batch workload management.