Computer Scientist 2 ( Data Engineering + AI )
Frame.ioKey Responsibilities
- 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.
Required Technical Skills
Primary Expertise (Expert Level)
- 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.
Secondary Expertise (Intermediate Level)
- 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.
Qualifications
- 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.
About Adobe
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