CRL2.0-Data Engineer / Database Admin_Senior Job Vacancy in EY Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
EY
Location : Bengaluru, Karnataka
Position :

Job Description : At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Data/ML engineer
Main role and responsibilities for Data/ML engineer are:
Develop and architect deployment of machine learning models in production
Maintaining, monitoring debugging deployed application.
Manage and implement integrations with other Platform components
Owning the data infrastructure and architecture that feeds downstream model training pipelines, including ETL/data pipelines, data management and versioning.
Collaborate with data scientists to establish end-to-end Machine learning Operations (MLOps)
Support data scientists with automation, tooling, data pipelines and data engineering expertise.
Required Skills:
Proficiency in Microsoft Azure services including Azure storage components, queue services, Azure functions and managed identity services.
Strong experience in designing and building RESTAPIs with Python (e.g. Flask, FastAPI)
Extensive experience building and maintaining CI/CD pipelines on Azure DevOps
Experience with containerisation (e.g. docker and Kubernetes)
Packaging private python project with Azure Artifacts
Experience with Azure ML services including workspace setup and configuration, model managements and Azure Datasets management.
Extensive experience using SQl, SQLAlchemy and ETL pipelines
Proficiency in Python Programming and understanding of Python best practices (PEP8)
Experience with data architecture, data managements and versioning protocols
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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