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Tier-1 employer and metro location with broad big-data skillset increase competition moderately.
Core big-data, streaming, and platform skills transfer across industries, though storage-specific knowledge helps.
Multiple mandatory big-data, programming, and platform skills plus seniority expectations enforce strict candidate filters.
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Architect and lead development of end-to-end data analytics solutions and platforms using Java and/or Python.
Design, build, and support batch and streaming data pipelines, AI-enabled assistants, chatbots, and automation integrations with enterprise systems.
Deploy and maintain applications on Kubernetes/Edge platforms with GitOps and CI/CD, collaborating with cross-functional teams to meet requirements and guide technical challenges.
Bachelor’s or Master’s Degree in Computer Science or Software Engineering.
Proficient in Java and/or Python programming and computer science fundamentals including algorithms and data structures.
Experience with SQL/NoSQL databases and Big Data technologies like Hadoop and Hive.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in architecting batch processing and streaming data pipelines using technologies like Spark and Kafka.
Familiar with AI concepts related to tool usage, multi-step orchestration, and Model Context Protocol (MCP) integrations.
Comfortable working in agile development environments with test-driven development and cross-functional collaboration.