Senior AI Data Engineer
Must-have:PythonCloudDevOpsDataCI/CDAISecurityLead
- 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.