Sr. Data Engineer (offline)
Technical Requirements
· At least 10+ years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems particularly in Azure
· Experience with creating real-time machine learning model deployment/ API creation capabilities.
· At least 5+ years real-time and streaming experience in Azure-based data solutions using external 3rd party APIs
· At least 3+ years in presales and demo using Azure data services including ADW and ADLS
· At least 5+ years of demonstrated experience of analytics services part of Microsoft Azure including Azure Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse, Streaming Analytics, Data Catalog, R/R Studio
· Should have experience designing service management, orchestration, monitoring, and management requirements of the cloud platform.
· At least 3+ years of experience in migrating large volumes of data using standard Azure automation tools from on-premise and cloud infrastructure to Azure
· Ability to produce high-quality work products under pressure and within deadlines with specific references
· VERY strong communication, solutions, and client-facing skills especially non-technical business users
Short description of the project:
Large Insurance Client wants to build and deploy machine learning models in Production on MS Azure environment.
Project Stage:
From scratch, starting with analysis of the ML model needs and the data requirements for the models.
Team size:
6 team members - 2 in USA, 4 in India.
Daily meetings: We will plan daily standups around 9 AM EST
Length of Assignment:
4-5 Months and can be extended depending on our phase 1.
· At least 10+ years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems particularly in Azure
· Experience with creating real-time machine learning model deployment/ API creation capabilities.
· At least 5+ years real-time and streaming experience in Azure-based data solutions using external 3rd party APIs
· At least 3+ years in presales and demo using Azure data services including ADW and ADLS
· At least 5+ years of demonstrated experience of analytics services part of Microsoft Azure including Azure Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse, Streaming Analytics, Data Catalog, R/R Studio
· Should have experience designing service management, orchestration, monitoring, and management requirements of the cloud platform.
· At least 3+ years of experience in migrating large volumes of data using standard Azure automation tools from on-premise and cloud infrastructure to Azure
· Ability to produce high-quality work products under pressure and within deadlines with specific references
· VERY strong communication, solutions, and client-facing skills especially non-technical business users
Short description of the project:
Large Insurance Client wants to build and deploy machine learning models in Production on MS Azure environment.
Project Stage:
From scratch, starting with analysis of the ML model needs and the data requirements for the models.
Team size:
6 team members - 2 in USA, 4 in India.
Daily meetings: We will plan daily standups around 9 AM EST
Length of Assignment:
4-5 Months and can be extended depending on our phase 1.
About EvolveSquads
One of our founding principles at Evolve Squads is to encourage our developers, with the cooperation of their hiring managers the ability to work remotely when permitted.This flexibility allows developers…
A better work-life balance
Increased productivity
The ability to work any time around the clock
Reduction in commute time
Fewer sick days
More time with family and friends
Company website:
EvolveSquads.com
DOU company page:
https://jobs.dou.ua/companies/evolve-squads/
The job ad is no longer active
Job unpublished on
11 December 2020
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