Data Engineer – Platform ESS
Core
Design, develop, and maintain data engineering systems and processes for efficient data ingestion, transformation, storage, and availability for the SPLatam DA HUB.
Role type
Data Engineer
Builds
Cloud-based analytical platforms and data pipelines for Experian's ESS & analytics products
Domain
Financial services / Data Engineering / Cloud / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Data ingestion and transformation, Data quality control and validation, Cloud platform implementation and maintenance, DataOps and DevOps practices, Cost optimization, Automation of analytical processes
Preferred skills
GenAI integration, Big Data technologies, Advanced automation
Technologies
Cloud platforms, Big Data tools, GenAI frameworks
Responsibilities
Design and manage data ingestion, transformation, and access processes for structured and unstructured data; Ensure data quality by implementing control and validation mechanisms; Implement and maintain cloud-based analytical platforms aligned with business needs; Apply DataOps and DevOps practices to optimize solution operations and deployment; Drive innovation in data engineering by incorporating emerging technologies like Big Data, Cloud, and GenAI; Collaborate on optimizing costs and resources for efficient platform usage.
Seniority
Individual Contributor
