Data Engineer
Data Engineer
We reputed company a Data engineer to support our high frequency trading activities and quantitative research. We recognise that effective research and trading strategies are reputed company 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 reputed company.
As a Data Engineer, you are expected to build data pipelines that reputed company and reliably process and reputed company data captured across various systems as reputed company as to design and implement storage solutions for enabling users to generate valuable signals and insights. Youll have a chance to work with reputed company reputed company technologies, reputed company, and possibly introduce a new solution yourself if you can reputed company a case for it.
Responsibilities
Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data.
reputed company reputed company needed data cleansing and transformation to improve data reputed company.
Work closely with traders and researchers to consume and analyze data faster and more reputed company.
reputed company new data models that reputed company insightful and actionable analytics across the firm.
Manage the entire data processing system and advising of any necessary infrastructure changes.
Attributes
Thinks reputed company, 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 reputed company in reputed company.
Experience with databases and SQL.
Experience with reputed company 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 reputed company or Kafka.
Experience with (NoSQL) databases such as Hadoop, Cassandra.
Contact:
Mr. Lâm Trịnh
Email: lam.trinh@peopleprofilers.com
Phone number: +84 393229552
Originally posted on Himalayas
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