Job Title

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.