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Skills Required

data modeler technology databricks processing programming azure python sql engineering adf logic architecture efficiency analysis reliability effectiveness integrity database relational management

Work Mode

On-site

Job Type

Full Time

Job Description

  • Bachelor's or master’s degree in computer science, Information Technology, or a related field.
  • Demonstrated expertise in working with DataBricks for data processing and analysis.
  • Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.
  • 7-14 years' experience in Data Modelling, hands-on experience in developing data pipelines and managing data infrastructure within Azure.
  • Python and SQL experience required
  • Worked on end-to-end Data Product deployment
  • Hands on Data Engineering, Data Modelling, ADF, ADL, Python, pyspark
  • Digital logic: it is important to possess this skill to clean and organize an unstructured set of data.
  • Computer architecture and organization: A solid understanding of computer architecture and organization will enable you to maximize efficiency when working with data.
  • Data representation: This allows for easier gathering, manipulation, and analysis of data, which can save valuable time and money.
  • Memory architecture: The most important part of memory architecture is being able to find the method that best combines speed, durability, reliability, and cost-effectiveness while not compromising the integrity of the data.
  • Familiarity with Erwin modeling tool.
  • Adapt to new modeling methods.
  • SQL language and its implementation.
  • Sufficient experience using database systems: Relational Database Management Systems (RDBMS) that possess big data handling capabilities, such as the ability to quickly store and fetch data.

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