Position: Sr. Data Engineer
Company: Evolve Squads
Experience required: 5y
English level: upper

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.