We are looking for a Senior Data Engineer to head the design, development, and upkeep of data and ML pipelines on the Domino Data Lab platform. This position centers on the data engineering and MLOps aspects of Domino, constructing dependable data pipelines, overseeing model lifecycle workflows, and keeping the platform's data and compute infrastructure running efficiently and securely. This is not a front-end or application development role.

Responsibilities

Build and sustain dependable data pipelines that power analytical and machine learning workloads
Handle the full lifecycle of data workflows, spanning ingestion, transformation, and delivery
Manage compute infrastructure to keep platform operations efficient, secure, and dependable
Diagnose and resolve issues that affect pipeline performance and data quality
Work alongside data scientists and other engineers to meet their infrastructure and tooling requirements
Define and champion best practices around platform usage, pipeline design, and data workflow structure




Introduce automation into testing and deployment processes to boost reliability and cut down manual work
Keep watch over pipeline health and get ahead of bottlenecks or failures before they escalate
Help drive continuous improvement of internal tools and processes that support data operations
Record technical designs, workflows, and configurations to enable knowledge sharing throughout the team

Requirements

At least 3 years of relevant experience
Deep hands-on experience with the Domino Data Lab platform, including Data Sources and Connectors, Datasets, Environments, Projects, Jobs, and Flows, with the ability to architect and troubleshoot end-to-end data pipelines and promote best practices for platform usage
Expert-level command of Python as the main language for data engineering and pipeline development
Strong SQL skills for extracting, transforming, and optimizing data across relational and warehouse systems
Comfortable using R and Bash across t

📌 Senior Data Engineer (Chile)
🏢 EPAM Systems
📍 Chile