Engineer II – AI Platform (B3617)

Design, build, and maintain scalable data ingestion and ETL pipelines ensuring high levels of data quality, integrity, reliability, and performance.,Integrate data from multiple internal and external sources into centralized data and content platforms.,Configure, optimize, and operate data storage, retrieval, and access mechanisms.,Monitor and optimize the performance, scalability, and reliability of data pipelines, storage systems, APIs, and retrieval workflows.,Develop, deploy, and maintain secure, scalable APIs.,Create and maintain clear, accurate documentation for data workflows, system designs, and best practices.,Implement and uphold data governance and security standards.,Partner closely with cross-functional technology, operations, and product teams.,Contribute to the execution of engineering strategy by supporting automation, tooling, and best practices.,Apply an understanding of business and technical requirements to identify effective solutions.,Collaborate with internal teams and external platform vendors to stay current on emerging technologies.,Support a positive, collaborative team environment by sharing knowledge, communicating effectively, contributing to continuous improvement initiatives, and taking ownership of ongoing professional development.

University or post-graduate degree in Computer Science, Data Engineering, Information Systems, or a related field.,7+ years of proven experience in data engineering.,Experience with designing and implementing large-scaled data processing pipelines.,Strong understanding of data platform architectures, data modeling, ETL processes, and data pipeline design.,Experience with cloud platforms (e.g., AWS, GCP, Azure (preferred)) and big data technologies.,Proficiency in programming languages such as Python, Spark, Java, or Scala.,Understanding of API management services.,Strong working knowledge of CI/CD and DevOps practices.,Understanding of machine learning concepts, MLOps, and familiarity with AI frameworks.,Understanding of natural language processing, machine learning, MCP, RAG and Agentic AI.

Bachelor's Degree