## Requirements
Python - Must be adept at scripting in Python
SQL - Techniques for querying, transformation, and performance optimisation
Apache Airflow - Experience working with DAGs in Airflow or a similar tool.
GitHub - Experience with version control, branching, and collaboration on GitHub.
Collaboration - Ability to work with stakeholders to translate business requirements into technical solutions.
Communication - Spoken english
Familiarity with Docker, Kubernetes, AWS/cloud platforms, and unit testing
Bonus Experience: Elixir, Cloudera Data Warehouse, AWS Athena/Tableau
## Responsibilities
Design and refactor Directed Acyclic Graphs (DAGs) with Pythona and Apache Airflow to enhance data for financial reporting requirements.
Maintain internal tooling used for managing sensitive company data.
Work closely with Data Science, Data Warehouse, Exchange, Backend, and Finance teams to align on data requirements and deliverables.
Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs.