Data Engineer

Develop data integration and analytics solutions, building data applications to provide advanced analytic and quantitative tools and modelling techniques to derive business insights, solve complex business problems and improve decisions.

Requirements

• Design and develop data pipelines from different sources.
• Produce efficient and elegant code that meets business requirements.
• Focus on business applications, cost optimization, client’s strategic needs and future growth goals.
• Data ingestion, data processing, pipelines orchestration, data access, data quality, ML training modules, performance evaluation module: all deployed on AKS cluster.
• Create and maintain high quality detailed technical documentation.
• Design, implement and deploy customer facing projects on AKS.
• Design and implement CI/CD automation pipelines (Gitlab, Helm).
• Experience implementing modern cloud data architectures and engineering (our solutions are deployed on Azure and On-Premises).
• Responsible for overall data lake stack and MLOps platform, with production deployments.

Benefits

• Competitive salary
• Opportunities for career growth and development
• Inclusive and diverse work environment