Highly skilled in data modelling: Experience developing data models from scratch for green field projects in multiple domains. Deep understanding of data warehousing concepts, dimensional modelling, and normalization/denormalization techniques. Expertise in tools such as Erwin Data Modeler, Power Designer, or similar.
Python programming (required): Proficient in Python for data manipulation, automation, and scripting. Comfortable with core OOP concepts (classes, inheritance, encapsulation) at a working level. Experience with pandas, regex, and API-based data extraction.
Knowledge of data products: Strong understanding of data product design principles and lifecycle.
Strong SQL skills and experience with relational (e.g., Oracle, SQL Server, PostgreSQL) and cloud databases (e.g., Snowflake, BigQuery, Redshift).
Good understanding of Azure cloud data services (Data Lake, Azure SQL).
Problem...
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