Azure Data Engineer

Requirements -Technical Skills:

  • Python, SQL, Node.js, IOT, Spark, Machine Learning, MongoDB, NLP, Blockchain, PowerBI, ChromeExtension, Selenium Automation and Web Scrapping, D365 CRM Custom Control Development, AZure DevOps(CI/CD), GitHub
  • Experience in Creating Solution Architecture For ETL(Extract Transform and Load) Data Pipelines Business Requirements.
  • Experience in Data Engineering with SQL For updating and maintaining Million Records Tables in Warehouse When updated By DataPipelines
  • Strong knowledge of Data Engineering With a Range of Microsoft Product Using Azure DataFactory, Azure Databricks, Azure Data Warehouse, Logic Apps, Function Apps, PowerBI, Azure Key Vaults, Azure DevOps CI/Cd Integration, OneDrive Migration Via Graph API.
  • Have Grasp on Agile Methodology Also SFPC Certified (Scrum Foundation Professional Certificate)
  • Excellent in Analyzing and gathering requirement and Working on multiple projects and Researching and providing Solutions for those Projects
  • Hands-on experience with Building Machine Learning Model For Natural Language Processing on Bank Statements (Certified in Machine Learning By Stanford University Online Course Through Coursera Scholarship)
  • Experience In Research and Providing Problem Solving solutions with those Research As part of company in house Research worked and Developed on Research Area of Blockchain, OCR for Fintech, Chatbots.
  • Have Knowledge of Understanding Raw Requirements Building Client Understandable Use-case and Diving those Use Case in Sprint/Milestone

Good to have –

  • Good Technical Blog writing Skills
  • Very Good In Creating Minutes of Meeting.
  • Have Experience in Dealing with Clients For Pre-sales and Demo of the Developed Products

Salary: Depends on Expertise


Industry: IT-Software, Software Services


Functional Area: IT Software – Data scientist

Job Category: Data Scientist
Job Type: Full Time
Job Location: Indore

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