Required Skills

• Strong proficiency in SQL—including complex queries, performance tuning, and data modeling
• Hands‑on experience with Snowflake—schema design, optimisation, warehousing best practices, and cost management
• Demonstrated experience refactoring and optimising Snowflake objects and pipelines for large‑scale data environments
• Experience building and maintaining ELT/ETL pipelines using tools such as dbt, Apache Airflow, or similar
• Familiarity with AWS data services including RDS, S3, Aurora, and backup/restore mechanisms
• Working knowledge of Python for data pipeline scripting, automation, and tooling support
• Proficiency with Git and GitHub for version control, branching workflows, pull requests, and collaborative development
• Demonstrated ability to work in Linux server environments—file system navigation, shell scripting, and service management
• Familiarity with containerisation ...