Java Developer or Python Developer Data Lineage and meta data

Position: Java Developer or Python Developer with Data Lineage and meta data
# Java Developer or Python Developer with Data Lineage and meta dataI8IS INC.
· Mississauga, Ontario, CABack to resultsI8

Java Developer or Python Developer with Data Lineage and meta dataI8IS INC.Mississauga, Ontario, CA Posted November 4, 2026 Via Indeed### Full

Job Description Location :
Mississauga, Canada Java Developer or Python Developer with Data Lineage and meta data Interview Process (3 Levels):1. L1 – Client Internal Panel (Teams/Zoom)2. Karat Interview
3. Discussion with Project Team (Teams/Zoom)
Java/J2EE (spring boot, hibernate, ORM), core developer who can write libraries and executable solution. Who worked on event based frameworks, knowledge of different design patterns. Oracle data base, configuration of APIs, graph API and Graph DB etc.

Role Summary Developer focused on data lineage to build systems that parse and analyze large, multi-language codebases and automatically generate accurate data lineage. The role pairs strong Python engineering with hands-on Gen AI/LLM work and ownership of build, deployment, and delivery pipelines. The emphasis is on clean, efficient, well-architected design — systems that are correct, performant, and maintainable as they scale.

What You'll Do
• Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
• Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
• Develop backend services and the interfaces that expose them, from data processing through to user-facing views.
• Own the delivery pipeline — build, test, deployment, and production support across environments.

Design Principles We Value
• Simplicity first — favor the simplest design that solves the problem; avoid unnecessary complexity and premature abstraction.
• Separation of concerns — clear module boundaries, single-responsibility components, and well-defined interfaces so pieces can evolve independently.
• Correctness and determinism — prefer predictable, testable behavior; ground AI outputs in verifiable data rather than guesswork.
• Performance-aware design — think about time/space complexity, memory footprint, and efficient data structures and algorithms up front.
• Scalability and extensibility — design so new languages, sources, and capabilities can be added without rewrites.
• Robustness — graceful error handling, fault isolation, and defensive design so one bad input can't take the system down.
• Readability and maintainability — code and designs the next engineer can understand, extend, and debug.
• Reuse over duplication — shared models and common abstractions instead of repeated logic.

Required Skills
• Strong Python development with solid object-oriented and functional design skills.
• Software engineering fundamentals: data structures, algorithms, and complexity analysis.
• Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.
• Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
• Understanding of retrieval-augmented generation and vector/semantic search concepts.
• Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
• Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.
• Data manipulation and transformation skills.

Nice to Have
• Graph algorithms and traversal techniques for dependency/lineage tracing.
• Data governance, metadata management, and data cataloging concepts.
• Experience designing systems for long-running or asynchronous workloads.
• Infrastructure automation and deployment tooling.

Key Responsibilities
• Translate ambiguous…