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Metro Bangalore and common data engineering skills create moderate competition despite seniority and established employer.
Core data engineering skills are broadly transferable across industries.
Requires deep data engineering expertise, specific big-data, cloud, and Kubernetes skills making filters strict.
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Lead architecture and productization of end-to-end AI-driven data analytics solutions with cross-functional teams.
Design, build, and support batch and streaming data pipelines and AI-enabled automation solutions using Java/Python.
Deploy and maintain applications on Kubernetes/Edge platforms with CI/CD pipelines and integrate AI solutions with enterprise systems.
Bachelor’s or Master’s Degree in Computer Science or Software Engineering.
Proficient in Java and/or Python programming and computer science fundamentals (algorithms & data structures).
Experience with SQL/NoSQL databases, Big Data technologies like Hadoop and Hive.
Familiarity with agentic AI concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in architecting and designing batch and streaming data pipelines using Spark and Kafka.
Skilled at integrating AI systems with enterprise tools and deploying scalable solutions on cloud or edge platforms.
Comfortable working in agile development environments with test-driven development approaches.