Senior Java engineer responsible for building data lake and big data solutions (preferably on Spark) with cloud experience (Azure/AWS/GCP), REST services, OOA/OOD and JEE design patterns, PostgreSQL expertise, TDD practices, and working in Agile teams. Optional: front-end (Angular/React), Docker/Kubernetes, investment banking domain knowledge.
Experience in Data lake preferably in Apache Spark framework
Must have working experience preferably in Azure cloud or AWS or GCP
Must have Good experience working on Rest services
Strong knowledge in OOA (Object Oriented Analysis) & OOD (Object Oriented Design), JEE Design Patterns.
Strong experience in Agile methodologies
Expertise with database systems like PostgreSQL
Experience in test driven development (unit testing. Mocking, BDD)
Nice to Have/Optional
Experience working on Angular/React
Preferable to have experience on Docker and Kubernetes
Preferable to have experience in Investment banking domain
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Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.



