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Teva Pharmaceutical Industries
As a global leader in generic medicines with a strong innovative portfolio, we are all in for better health.
Teva Pharmaceuticals has been developing and producing medicines for more than 120 years. Along with our established presence in generics, we have significant research and operations supporting our growing portfolio of innovative medicines and biopharmaceutical products.
Today, our portfolio of around 3,600 products is among the largest of any pharmaceutical company in the world. Nearly 200 million people in 60 countries benefit from one of Teva's quality medicines every day. We invest in research and development of innovative medicines, generic drugs and biosimilars, carrying on the legacy of more than a century of finding new ways to help patients improve their lives. This defines our values as a company and characterizes how we do business and approach medicine.
This defines how we do business and motivates thousands of Teva employees all over the world, every single day.
Learn more at www.tevapharm.com.
In Bulgaria Teva (known as Actavis until 2020) is the largest employer in the pharmaceutical industry with near 1700 employees in the two manufacturing plants (Dupnitsa and Troyan), sales and marketing organization and in a number of global corporate functions based in our country. We believe that each and every one of us should have access to quality medicines that help manage illness, fight infection or simply support overall health. Learn more at www.teva.bg.
We are looking for qualified and motivated candidate for the role of Data Engineer based in Sofia.
If you are ready to grow, learn, and thrive in a dynamic environment, we want to hear from you!
The Data Engineer will provide end-to-end (E2E) support for the data project lifecycle, including acquiring, organizing, analyzing, and delivering data. This includes working on Big data projects and participating in the implementation of new digital platforms, data solutions, and tools. The Data Engineer will support data analysts and data scientists in their initiatives and ensure that an optimal data delivery architecture that is consistently maintained throughout ongoing projects. This role is a unique opportunity to grow your career, collaborate with highly talented people worldwide, and work on innovative projects using advanced technologies.
• 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.
If this sounds like the right opportunity for you, send us your CV in English.
Please, kindly note that only shortlisted applicants will be contacted. All personal data is protected by law and will be treated in confidence.
If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site
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.
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
