Xebia
Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
Data ML Platform Engineer
April 15
Airflow
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Python
Spark
Terraform
Unity
Xebia
Xebia is a pioneering Software Engineering and IT consultancy company that specializes in digital transformation, agile transformation, cloud computing, data and AI, DevOps, and intelligent automation. The company focuses on creating digital leaders by leveraging advanced technology and providing strategic solutions to diverse industries, including Banking, Healthcare, Retail, and more. With a global presence and a strong partnership with GitHub and Google Cloud, Xebia provides end-to-end services that empower organizations to maximize their technology potential and drive innovation.
IT Consultancy • Continuous Delivery • Offshore Services • Deployment Automation • Digital Transformation
📋 Description
• Develop and deliver high-quality features for the ML Platform • Refactor and translate data products • Focus on creating and maintaining the Data Platform • Infrastructure design, build and deployment with distributed systems • Maintain architecture patterns for data processing, workflow definitions • Evaluate and translate technical design to workable solutions • Drive creation of re-usable artifacts • Establish scalable, efficient processes for data analysis • Collaborate with analysts/data scientists • Write efficient and well-organized software • Promote good software engineering practices
🎯 Requirements
• 5+ years of hands-on experience in using Python, Spark • experience in AWS Cloud usage and management • experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow) • experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch • experience with orchestrators such as Airflow and Kubeflow • familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) • fundamental understanding of Parquet, Delta Lake and other data file formats • proficiency on an IaC tool such as Terraform, CDK or CloudFormation • strong written and verbal English communication skill and proficient in communication with non-technical stakeholders
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April 15
Join Xebia as a Data Engineer responsible for developing features for our ML Platform.
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