Design, build, and maintain scalable batch and real‑time data pipelines and cloud‑native data platforms, ensuring reliability, scalability, and cost efficiency.
- Design, build, and maintain scalable batch and real‑time data pipelines and processing systems.
- Design, build, and evolve cloud‑native data platforms that enable data ingestion, processing, analytics, and observability across the organization.
- Build APIs and data services to expose processed data to downstream applications and teams.
- Develop data models and warehousing solutions that support analytics, reporting, and downstream applications.
- Collaborate with data scientists, analysts, product teams, and other engineering teams to deliver trusted data products.
- Bachelor's degree in Computer Science, Engineering, MIS, Mathematics, or a related field.
- Nice to have: Go
- Nice to have: AI/ML data infrastructure
- Nice to have: LLM-based applications
- Nice to have: RAG architectures
Data Engineer, Clinical OperationsBristol Myers Squibb · Princeton, US
Data EngineerTrendyol · Istanbul, Turkey