Senior AI Data Engineer

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Description

Bachelor’s degree in Computer Science, Engineering, or a related field 5–8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components. Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support. Hands-on experience with Python and SQL for data transformation and validation Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts Experience with implementing knowledge base and RAG solutions for agentic AI use cases Self-starter with strong problem-solving skills and a keen attention to detail Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions. Strong documentation and communication skills Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.

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