Back
Known multinational, metro location, and broad generalist data/cloud skillset create moderate competition.
Data engineering skills like Java, Spark, Hadoop and GCP are highly transferable across industries.
Explicit 8–12 years and mandatory Java, Spark and cloud/GCP experience make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead migration of batch processing workloads from on-premises to OneTru GCP cloud platform.
Own delivery of a scalable, resilient batch processing system managing petabytes of data and 1000+ batch trigger configurations.
Drive automation and standardization of batch trigger and Logical Flow Engine configurations using AI to enhance operational efficiency and reduce 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 hands-on experience with Spark, Hadoop, and big data technologies.
Mandatory cloud experience with hands-on knowledge of GCP preferred; AWS knowledge acceptable.
Technical skills must include Spark, Java, Spark SQL, Vue.js, Microservices, Python, Hive, and PostgreSQL. Basic AI knowledge required.
Experienced in operating and scaling large data batch ecosystems, preferably in credit or financial services domain.
Proven track record in cloud migration projects, particularly to GCP, and managing complex batch workloads.
Skilled in combining cloud technologies, big data processing, and AI-driven automation to improve reliability and operational efficiency.