Data & AI Engineer
Core
Design and develop end-to-end data solutions integrating data engineering and full-stack development to enable efficient data consumption on enterprise cloud platforms.
Role type
Data & AI Engineer (Data Engineer Specialist)
Builds
Data architectures, custom front-end applications, scalable APIs, and ETL/ELT pipelines for enterprise clients.
Domain
Enterprise Data & Cloud Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, Data Warehouse/Data Lake architecture, ETL/ELT pipeline design, Spark, Python, Vue.js, React, Node.js, FastAPI, GCP BigQuery, Azure Fabric, Databricks, CI/CD pipelines, GitHub, Jenkins
Preferred skills
GitHub Copilot, distributed systems, Docker, Kubernetes, Agile methodologies
Technologies
Datastage, ODI, Informatica, Talend, Spark, Python, Vue.js, React, Node.js, FastAPI, GCP BigQuery, Azure Fabric, Databricks, GitHub, Jenkins
Responsibilities
Design and develop data warehouse and data lake architectures; Build and maintain custom front-end applications for data consumption; Create scalable high-performance APIs; Implement responsive user interfaces; Design and manage ETL/ELT pipelines; Collaborate with data and platform teams; Implement and manage CI/CD pipelines and version control; Optimize application performance and ensure cross-browser compatibility; Coordinate technical activities and manage project risks and priorities.
Seniority
Mid-level (3-7 years experience)