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Data Engineer with Cloud(Python and Spark/Scala

6.00 to 10.00 Years   Bangalore   24 Dec, 2020
Ernst & Young
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Position title AI ML Engineer with Cloud ( AWS + Azure)

  • AI ML Engineer in the IT Advisory Services team to be part of the delivery of AI/ML based projects for our customers across the globe.
Technical Responsibilities:
  • AI ML Engineer with 6 to 10 years of IT experience including 4 to 7 years in AI ML and Cloud, developing E2E design, develop, enhance and implement AI solutions.
  • Expertise in designing scalable AI ML solutions, data warehouse models on large-scale distributed data, performing wide range of analytics and processing on Azure/AWS.
  • Expertise in building solutions using Azure Cognitive Service, Azure SQL DB, Microsoft SQL Server, Azure Databricks
  • Experience in building data models and create very large data sets
  • Solid understanding of data analytics patterns, distributed computing and in building applications for real-time.
  • Pocessing programming skills in design and implementation using Python, Java and C#
  • Good knowledge on SQL and NoSQL Data bases such as Azure SQL DB, MongoDB, Redis
Requirements (Qualifications)We are looking for the candidates with the following:
  • BE/BTech/MCA with a sound industry experience of 6 to 10 years
Mandatory skills:
  • AI, ML, NLP,
  • Hands-on experience REST APIs, libraries, frameworks, R, Pythons Java and C#.
  • Design, development and deployment of cloud applications on both Azure and AWS
  • Azure- Azure ML, Azure Cognitive Service, Azure SQL DB, Microsoft SQL Server, Python, R, PowerShell, Sql, Azure Databricks
  • AWS- Sage Maker, Python, R, Sql, Powershell, Aurora DB, DynamoDB, EMR
  • Snowflake DB with AWS/Azure , data modelling
Ideally, you ll also have
  • Kafka
  • Splunk or ELK
  • Docker and Kubernetes
  • Experience working on CMMI / Agile / SAFE methodologies
    ,

    Keyskills :
    sqljavadata warehousinginformaticapythonmicrosoft sql serversql serverit advisorydata modelsmusic makingdata analyticsglobal delivery

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