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Data Engineer (Junior-Senior)

Data Engineer (Junior-Senior)

IO TECH SOLUTIONS LIMITEDHongKong, Hong Kong
18 天前
职位类型
  • Quick Apply
职位描述

A Data Analytics and Platform team within the Institutional Securities Technology division is seeking a collaborative, hands-on developer to build best-in-class solutions for Data APIs, Data Governance, Data Quality, Security & Privacy, and Architecture. This role offers a unique opportunity to work in a state-of-the-art modern data stack using open-source technologies aligned with our cloud strategy. We are looking for a proficient developer who is excited about innovation, with a proven track record of delivery.

Roles and responsibilities include :

  • You will work closely with quants and traders across multiple trading desks to design, develop, deploy and support the innovative data science environment
  • Design widely used and flexible APIs to our core data and functionality
  • Analyze and optimize performance of large data workloads using compute clusters
  • Stay up to date with emerging trends and tools in the data & analytics domain
  • Provide support and design advice to users of the cross-asset platform
  • Work closely with strategists and other stakeholders to help move their financial assets, valuation models and data pipelines to the platform
  • Efficient Communication across regions and functions
  • At least 3 years relevant experience would generally be expected to find the skills required for this role

What were looking for : we have a number of roles available for a range of technologists at different experience levels to join the team who will need

  • Excellent problem solving and code development skills
  • Ability and interest to research, learn and implement new Data and Analytics technologies and paradigms
  • Enterprise level software development practices
  • Strong oral and written communication skills
  • Strong team working ability in local and global teams
  • Passion for continuous improvement both personally and as a team

    • Skills that will help you in the role :

  • Established experience with Python and Python ecosystem.
  • Experience with performance optimization, concurrent programming and microservices design.
  • Good knowledge of data processing libraries and stacks (Polars, Pandas, Numpy, Dask, Spark), SQL / NoSQL (Mongo)?Knowledge of ETL and streaming pub / sub platforms (Kafka)?Knowledge of SDLC management tools (Git, Jenkins, Github, docker, Kubernetes, Autosys), apps observability libraries (OpenTelemetry) and monitoring tools (Grafana, Loki, Tempo, Prometheus).
  • Exposure to grid distributed applications (optional)
  • Exposure to KDB or other timeseries database technologies (optional)
  • Exposure to Cloud technologies (optional)
  • Exposure to Risk Management systems and a wide range of Financial Instruments (optional)