Job description
Data Engineer
We seek a Data engineer to support our high frequency trading activities and quantitative research. We recognise that effective research and trading strategies are built upon solid foundations
in the collection, storage, and service of data. We trade at a number of exchanges globally and we are looking for a junior engineer interested in working with terabytes of data to join our team.
As a Data Engineer, you are expected to build data pipelines that efficiently and reliably process and transform data captured across various systems as well as to design and implement storage solutions for enabling users to generate valuable signals and insights. Youll have a chance to work with Google Cloud technologies, Scala, and possibly introduce a new solution yourself if you can make a case for it.
Responsibilities
Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data.
Perform all needed data cleansing and transformation to improve data quality.
Work closely with traders and researchers to consume and analyze data faster and more efficiently.
Deploy new data models that provide insightful and actionable analytics across the firm.
Manage the entire data processing system and advising of any necessary infrastructure changes.
Attributes
Thinks clearly, learns quickly, solves problems, and can work with no supervision.
Asks good questions. Communicates effectively.
Development experience in more than one programming language, preferably different (e.g. strongly versus dynamically typed, functional versus object-oriented).
Familiarity with software development practices. Works well in a team.
Experience with databases and SQL.
Experience with stream processing.
Good to have
Knowledge of electronic trading and tick data
Knowledge of data modelling and database design.
Experience of data processing/ETL implementation.
Experience with distributed systems.
Experience with messaging middleware such as Solace or Kafka.
Experience with (NoSQL) databases such as Hadoop, Cassandra.
Contact:
Mr. Lâm Trịnh
Email:
Phone number: +84 393229552
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.