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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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
