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Common mid-level data role, metro location, broad tech-stack, and hybrid work make competition high.
Core Big Data, Spark and cloud skills are highly transferable across industries.
Explicit 3–6 years plus mandatory Java, Spark and cloud experience increase shortlisting strictness.
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Lead migration of batch processing workloads from on-premises to OneTru GCP cloud platform.
Develop and maintain a scalable, resilient batch processing system handling enterprise-scale data volumes.
Automate and standardize management of batch triggers and LFE configurations using AI to improve operational efficiency and time-to-market.
3 to 6 years of IT industry experience with at least 3 years in Java.
Minimum 2 years of experience with Spark, Hadoop, and big data technologies.
Hands-on cloud experience required; GCP preferred over AWS or Azure.
Technical skills must include Spark, Java, Spark SQL, Vue.Js, Microservices, Python, Hive, PostgreSQL, and basic AI knowledge.
Experienced in large-scale batch data processing within the credit/data domain or similar high-volume environments.
Comfortable working in a globally distributed team supporting hybrid (remote and in-office) work model.
Skilled at leveraging cloud platforms (especially GCP) and AI-based automation to drive platform reliability and operational improvements.