Big Data Engineer Big Data Engineer …

à Singapour, Singapore, Singapour
CDI, Plein-temps
Dernière candidature, 11 juil. 20
à Singapour, Singapore, Singapour
CDI, Plein-temps
Dernière candidature, 11 juil. 20
Big Data Engineer
Job Purpose:
We are looking for a Big Data Engineer to join our team creating new pipelines to process and learn from financial data. You will work closely with product owners, data scientist and team members to deliver solutions through new and existing channels.
Job Background/context:
We believe the future is with us !
Home to where we define, ideate, develop and distribute production-ready financial solutions of far-reaching impact. And right now, the door's open to direct the future of our technology for a truly global client base. This means collaborating with the keenest minds in data science, big data, software engineering, web development, UX design and more. Doers looking to bring the next bold ideas to life for a fascinating array of clients - investing, trading and transacting at the forefront of change in markets and economies the world over.
If you have this kind of vision, capable of seeing ahead, of developing a clear path forward in a quest to try the as yet untried, here is the opportunity. In a supported, resource-rich, vibrant co-working environment, part of an ecosystem of globally interconnected labs, realising a broader mission of enabling growth and economic progress on a scale you won't find anywhere else. Welcome to our APAC Cross Markets Analytics & Digitization (CMAD), Team
Key Responsibilities:
  • Architect and process complex datasets with Spark, Beam, etc
  • Read/write data with Kafka, HDFS, S3, Postgres etc
  • Produce fault-tolerant, intelligent data processing pipelines
Skills & Qualifications:
  • You have a great understanding of the Python language and standard library
  • You understand how to use a data processing framework, such as Apache Spark or Beam
  • You know how to read/write data to message and storage platforms, such as Apache Kafka, HDFS or Amazon S3
  • You are interested in creating data processing pipelines for machine learning, using Apache Airflow, Dask, etc
  • You have very high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
  • You are an adaptable, resourceful, well organised team player with a strong work ethic
  • You agree that verbal and written communication skills are vital
  • You are educated to degree level or above
Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - SG ------------------------------------------------------
Time Type :Full time ------------------------------------------------------
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