[ref. m10992018] Data Engineer III - Bangalore
Job Description
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 will provide E2E support of Data project Lifecycle (Acquire, Organize, Analyze and Deliver) including Big Data projects and participate in the implementation of new Data platform solutions and tools.
The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
This job is an unique opportunity grow your career and work with highly talented people across the globe, work on innovative projects using various advanced technologies.
How You'll Spend Your Day- 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
- Extensive experience programming in Python, Pyspark, SQL and a good understanding of ML libraries.
- Expertise in Azure and its services such as Azure ML, Databricks, Azure DataFactory etc.
- 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.
Reports To
Associate Director IT Business Application
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.
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.