Back
Senior, niche data engineering role at a known brand in a metro location; moderate applicant density.
Data engineering skills are broadly transferable, though enterprise storage and MCP experience add domain specificity.
Explicit 8+ years and mandatory big-data, streaming, and cloud skills increase screening rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and lead end-to-end data analytics and AI-driven solutions with ownership of productizing these solutions.
Design, build, and support batch and streaming data pipelines, AI assistants, automation services, and backend integrations using Java/Python.
Deploy and maintain applications on Kubernetes/Edge platforms using GitOps and CI/CD; collaborate and guide cross-functional teams and stakeholders.
8+ years of relevant experience with a Bachelor's or Master's in Computer Science or Software Engineering.
Proficient in Java and/or Python programming.
Experience with database technologies (SQL/NoSQL), big data tools such as Hadoop and Hive.
Familiarity with agentic AI concepts including tool usage, multi-step orchestration, and Model Context Protocol (MCP).
Experienced in architecting complex data analytics platforms and integrating AI/automation into enterprise systems.
Skilled in developing scalable batch and streaming data pipelines using tools like Spark and Kafka.
Comfortable working in agile development environments with test-driven development and CI/CD pipelines, and collaborating across functions.