What you will be doing
- Develop, test, and maintain robust dimensional data models from diverse data sources, including first-party data, data from third-party APIs, SFTPs, and other external data sources
- Enhance the efficiency and performance of data models, focusing on improving ease of use, increasing accessibility of data, reducing runtimes, and eliminating waste
- Establish and maintain ELT pipelines for our Snowflake Data Warehouse, adhering to the best practices in data integration, management, and protection of sensitive information
- Advise product development on analytical requirements with new feature releases, and ensure data warehouse incorporates development changes from new feature releases effectively
- Use your knowledge of Fresha's product and data models to analyse the performance of features and support product operations - through analytical queries and dashboards
- Develop comprehensive data documentation to maintain consistency in understanding and communication across the team.
Skills, experience & qualifications required
- Good knowledge of SQL and an introductory understanding of data modeling concepts. Willingness to learn more advanced techniques such as dimensional modeling. Familiarity with DBT is a plus but not required
- An understanding of fundamental data platform concepts and an eagerness to develop expertise in data warehousing
- Exposure to or familiarity with modern data stack components
- An interest in improving the performance and efficiency of data models and systems, with support and guidance from senior team members
- Good communication skills in English (C1 or higher), with a willingness to collaborate with team members and stakeholders to understand requirements and share progress
- A desire to learn how to contribute to product development decisions through data architecture best practices and analytical insights
- Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work
Bonus:
- Familiarity with the following systems: Fivetran, Airflow, Snowflake, dbt and Periscope Data
- Experience in writing ELT pipelines with SQL and Python
- Experience working in fast-paced companies
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