What you’ll already have:

• Expert skills in building cloud-based data pipelines using data orchestration and workflow platforms. We use Airflow/Cloud Composer with Python but you may have experience of different orchestration/workflow tools or programming languages.

• Advanced SQL skills, with a deep understanding of how to write performant SQL and debug problems

• Experience with a cloud-based relational Data Warehousing product

• Data transformation tools, preferably DBT

• Cloud-Based data platforms, preferably Snowflake or Big Query

• Designing secure data pipelines and fixing security/performance issues

• Identification of data quality issues

• Deploying to at least one major Cloud Platform such as AWS, GCP or Azure

• Continuous Integration/Continuous Delivery

• TDD, pair programming.

• Agile development methods such as Scrum or Kanban

What else you could bring:

• Containerisation, Kubernetes

• Event-driven design

• Gitlab CI, Jenkins, Circle CI, Jira

• Data orchestration and workflow technologies such as Airflow

• Visualisation & reporting tools such as Tableau or Looker

• ETL tools such as Apache Beam or AbInitio

• Knowledge or experience of DataVault (DV2)

• Data Visualisation

• Understanding of Data Management Concepts