Computer Scientist 2 ( Data Engineering + AI )
Adobe
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Keywords
Job Description
- Data Architecture: Design scalable distributed data processing systems.
- Pipeline Development: Build ETL/ELT pipelines for complex datasets.
- AI Integration: Implement and fine-tune generative AI capabilities.
- App Engineering: Develop backend services to expose data products.
- System Optimization: Improve code performance, data quality, and storage efficiency.
- Mentorship: Guide junior engineers and advocate for technical best practices.
- Data Engineering: Apache Spark, Hadoop, Kafka, and Databricks/Delta Lake.
- Python Ecosystem: PySpark, Pandas, NumPy, and performance tuning.
- Cloud Platforms: Advanced deployment experience within AWS or Azure.
- Data Modeling: Expert knowledge of relational and non-relational databases.
- GenAI / LLMs: Experience with LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Milvus).
- Application Engineering: Building APIs using FastAPI, Flask, or Node.js.
- DevOps / MLOps: Containerization via Docker, Kubernetes, and CI/CD deployment workflows.
- Education: Bachelor s degree in Computer Science or a related field.
- Experience: 7+ years of professional software engineering experience.
- Portfolio: Proven track record of shipping production-grade data pipelines.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
About The Company
Adobe
Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.
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