Data Engineer - Modernization

Who we are

Together, we're on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It's a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world's leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization's Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we're always looking for new ways to continue making a difference, and new people to make a difference with.

The opportunity

The Data Engineer - Modernization has overall responsibility and accountability for diagnosing existing architecture and data maturity and identifying gaps. Provides data access and enhances quality of the available data. Designs and jointly develops the data architecture and ensures security and maintenance. Builds data tools and products for effort automation and easy data accessibility.

How you'll spend your day

• Gathers requirements, assesses gaps and build roadmaps and architecture to help the analytics of the organization achieve its goals
• Works closely with MS&T Scientists and IT to ensure data quality and availability for analytical modelling
• Works in collaboration with application developers to ensure data structuring
• Works with department to develop solutions for data structuring
• Explores suitable options, designs, and creates data pipeline (data lake/data warehouses) for specific analytical solutions
• Defines ETL/ELT based on jointly defined requirements
• Identifies gaps and implements solutions for data security, quality and automation of processes
• Supports automation engineers in the connectivity of physical assets
• Supports maintenance, bug fixing and performance analysis along data pipeline
• Ensures all departments have proper training to implement new electronic tools for modernization transformation

Your experience and qualifications

• Required: BS/MS degree in Computer Science, Engineering. Preferred: Background in mathematics and statistics
• Experience in data engineering and data bases/warehouses. Preferred: Experience in big data platforms (eg Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive.
• Experience with reporting and BI packages (eg Tableau, QlikView, SAP, BO etc
• Experience with programming languages like UNIX shell scripting, Python etc
• Strong knowledge of GMP (equipment and computer validation) and RA requirements within the manufacturing and packaging environments for pharmaceuticals
• Strong analytical and problem solving skills
• Travel Requirements: Between Teva Canada sites (30 Novo, Hood Rd & Stouffville)

Already Working @TEVA?

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's Equal Employment Opportunity Commitment

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.