Senior Data Engineer

3 weeks ago

Hong Kong, Central and Western District, Hong Kong SAR China GFT Technologies SE Full time

About GFT Technologies

GFT Technologies is a global leader in driving the digital transformation of the world's foremost financial institutions. Our expertise extends to other sectors such as industry and insurance, where we leverage our robust consulting and implementation skills across pioneering technologies, including cloud engineering, artificial intelligence, the Internet of Things for Industry 4.0, and blockchain. With our deep technological expertise, strong partnerships, and scalable IT solutions, GFT enhances productivity in software development, providing clients with faster access to new IT applications and innovative business models while mitigating risk.

As a Senior Data Engineer at GFT Technologies, you will be responsible for designing and refactoring Directed Acyclic Graphs (DAGs) with Python and Apache Airflow to enhance data for financial reporting requirements. You will also maintain internal tooling used for managing sensitive company data and work closely with Data Science, Data Warehouse, Exchange, Backend, and Finance teams to align on data requirements and deliverables.

Key Responsibilities

  • Design and refactor 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.

Requirements

  • At least 7 years of working experience in a related position.
  • 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.

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