Python Data Engineer (Finance Digital Transformation)
Job details
We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure. We build and maintain a data transformation pipeline for Finance teams at Crypto.com . Design and implement robust data pipelines, guaranteeing data quality, data delivery, and timely financial reporting for Finance teams. Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data queries. 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
- 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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