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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.
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.
Associate Director IT Business Application
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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