Data Engineer

1 day ago

Taiwan Bitcoin Devs Company Full time $100,000 - $150,000 per year
Overview:
The Data Engineer plays a crucial role in our organization, responsible for designing, developing, and maintaining data pipelines and infrastructure. This role will contribute to the architecture of our data systems and ensure the reliability and efficiency of data processing.
Key Responsibilities:
  • Leading through example: Overseeing high performing, multidisciplinary members of the Data Analyst team, you will design and build complex visualizations and analytical models to help us to meet compliance or regulatory requirements, build several data analytical systems to help business teams improve work efficiency.
  • You will work closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualizations and recommendations for execution.
  • Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits.
  • Support and manage data requests from business stakeholders – can understand business change needs and assess the impact of those changes.
  • Responsible for working closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use cases.

Required Qualifications:
  • Bachelor's degree and above in a quantitative or engineering field with professional work experience in a relevant field.
  • Strong analytical thinking and communication skills.
  • Minimally 5 to 8 years of working experience with common analysis tools such as SQL, R, and Python.
  • Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.).
  • Familiar and comfortable with large volumes of data and big data technology (Hadoop, Redshift, Spark, Presto, hive).
  • Experience in working with cross-functional teams to gather requirements and ability to set work priorities.
  • Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
  • Experience with regulatory compliance and financial trading analyzing will be beneficial.

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