About the Role
Responsibilities
- Design and maintain optimal data pipeline architecture via scheduling and authoring tools such as Airflow & dbt
- Wrangling large, complex data sets & modelling data to meet functional / non-functional business requirements.
- Optimize data storage and query processing for performance and scalability.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Implement data security and governance best practices.
Qualifications
- Bachelor's degree or higher in Computer Science, Engineering, Information Technology or other related field.
- Proficiency in scripting languages - Python, SQL
- Good understanding of relational DB, data structures, models, data warehouses & data lakes
- Familiarity with databases & data warehouses - MySQL, PostgreSQL, MSSQL,...
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