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

Your experience and qualifications

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?

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