Data Modeling Techniques and Methodologies Digital Data Engineering Practitioner

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• Project Role :Digital Data Engineering Practitioner
• Project Role Description :Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.
• Management Level :10
• Work Experience :4-6 years
• Work location :Bengaluru
• Must Have Skills :Data Modeling Techniques and Methodologies
• Good To Have Skills :Data Science
• Job Requirements :
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  • Key Responsibilities : A: Knowledge on banking industry is desirable B: Knowledge on ETL concepts to pull data from multiple data sources C: Expertise in data modelling principles/methods including conceptual, logical physical Data Models D: Develop Data Warehouse Dimensional modelling constructs; Develop and maintain the Data Warehouse Architecture using FSLDM E: Candidate must display strong analytical skills and responsible, methodical and organized with an ability to perform to high level of accuracy
    
  • Technical Experience : A: Ability to perform predictive Data modelling using Python or R B: Good understanding of statistical prediction models C: Should have understanding of Big data technologies D: Need to have understanding of Data Science, Data collection mechanisms, building data pipelines, how to deploy Machine Learning models etc E: Excellent communication and collaboration skills F: Develop and maintain conceptual, logical, and Physical data models
    
  • Professional Attributes : A: Strong Communication skills B: Good Analytical skills
    
  • Educational Qualification : A: Minimum 15 years of full time education

15 years of full time education