We are seeking a Senior Data Science Engineer to design and deliver reusable data-sharing adapters and governed access patterns across a cloud analytics lakehouse. You will build reliable integrations, apply strong engineering practices, and help teams consume data safely and efficiently.
Responsibilities
- Design a dual-format lakehouse write layer that supports Delta and Iceberg metadata over one physical dataset
- Build and validate ingestion patterns from object storage to an analytical warehouse for structured operational data
- Implement change-data-capture patterns with Kafka for real-time and near-real-time data movement
- Develop dependency-aware bookkeeping and data lineage tracking patterns across pipelines
- Ensure adapter code is modular, version-controlled, and reusable for new data source integrations
- Configure external table definitions to enable governed access for downstream platforms
- Validate zero-copy read access to Iceberg and Delta tables without unnecessary data movement




- Implement and test tenant-scoped access controls aligned with metadata governance needs
- Deliver a Delta Sharing adapter to provide live, zero-copy sharing to external consumers
- Configure sharing endpoint registration and manage sharing agreements for data products
- Test end-to-end data freshness and sharing latency against agreed SLA targets
- Register connector types in a connector registry and enable controlled data-out connectivity
- Implement RBAC and tenant-scoped authorization for all external data-out paths with auditability
- Add metering hooks compatible with billing for governed data-out flows
- Document integration patterns and operating procedures for reuse and support

Requirements
- 3+ years of data science or ML engineering experience using Python, pandas, and scikit-learn
- Experience building RAG applications, including embeddings and retrieval strategies
- Strong leadership skills to drive technical decisions and mentor peers across workstreams
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📌 Senior Data Science Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina