- 8+ years of experience of analyzing, integrating, modelling, and interpreting large volumes of complex data from multiple sources and technologies
- Minimum of 2+ years of working experience with Snowflake as a cloud Datawarehouse and data lake service
- Experience in advanced snowflake topics like RBAC, Dynamic tables, optimization techniques
- Obvious track record of designing and implementing ELT data pipelines using tools like dbt with Snowflake as Cloud Datawarehouse
- Working experience of building lean and efficient data transformation pipelines using dbt (data build tool) at advanced level
- Exposed to ETL/ELT and data governance tools (incl. FiveTran, Alation)
- Strong technical proficiency in SQL, data modelling and data warehousing in a variety of database technologies
- Working experience in cloud
- Ability to present and communicate to varied users (technical and non-technical)
- Inept understanding of orchestration using Apache Airflow or MWAA and CI/CD pipelines
- Demonstrable career history working with and delivering high volume Data Warehousing solutions is essential
Positive to have Skills
- You are comfortable being responsible for continuous deployment, operation, and monitoring of your data solutions and their infrastructure. Preferred CI/CD toolkit: Terraform, GitHub Actions
- Airline Industry domain experience
- Adaption to Agile Methodology
Role & responsibilities
- Place a heavy focus on building their future state Data Warehouse capabilities in cutting edge technologies
- Analyze, adjust, and adapt their data pipeline as data, models and requirements evolve, always providing your expertise and insights along the journey
- Write, test, and validate data transformation and ETL routines with dbt, Snowflake and Airflow