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• E2E support of Data project Lifecycle (Acquire, Organize, Analyze and Deliver).
• Define, innovate and shape the architecture for new data products / features
• Operationalize and Automate ML models deployments
• Manage, monitor, troubleshoot machine learning infrastructure
• Implement and maintain metrics for tracking ML models performance.
• Seeing through a project from conception to finished product
• Hands on work on core Data platforms and tools
• Analyze & translate functional specifications /user stories into technical specifications.
• Willing and enthusiastic to learn new technologies/tools
• Work individually, with minimal supervision as well as in team environments and work well with people within and outside team members
• Bachelor’s degree in computer science
• Minimum 3+ years of experience in Data Engineering, and working with Data platforms and tools
• Extensive experience programming in Python, SQL and a good understanding of ML libraries
• Expertise in Azure and its services such as Azure ML, Databricks, Azure DataFactory etc.
• Experience with data visualization tools such as Grafana, Splunk, PowerBI, Tableau
• Experience with machine learning architectures and technologies
• Good understanding of routing & networking
• Knowledge of CI/CD & Devops principles
• Good understanding and working knowledge with Kubernetes Service
• Good understanding and working knowledge with API/web service security and data security practices and methods
• Experience in ETL development (design and implementation)
• Deep knowledge of frameworks and methodologies for working with large data
• Experience managing relational databases (MSSQL, Oracle, MySQL, etc.) and non-relational databases (MongoDB,etc.)
• Excellent verbal and written communication skills
• Excellent collaboration, troubleshooting and problem solving skills
• Excellent command of English
• Dynamic and challenging work environment in one of the world’s leading pharmaceutical companies and the largest pharmaceutical company in Bulgaria.
• Competitive remuneration linked to performance.
• Additional health insurance.
• Transportation allowance.
• Flexible working hours and the option to work from home as per company policy.
• Opportunities for professional development.
Please, kindly note that only shortlisted applicants will be contacted. All personal data is protected by law and will be treated in confidence.
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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