Found Description
- 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...