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 Python 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.

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