Data Engineer - Singapore - GRASSHOPPER PTE. LTD.

GRASSHOPPER PTE. LTD. Singapore

1 day ago

Description

Roles & Responsibilities

We seek a Data engineer to support our high frequency trading activities and quantitative research. At Grasshopper we recognise that effective research and trading strategies are built upon solid foundations in the collection, storage, and service of data. Grasshopper trades at a number of exchanges globally and we are looking for an experienced 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. You'll 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.

Skills and Knowledge Required

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

Qualifications

A good degree with a focus on Data Engineering or the equivalent.

Tell employers what skills you have

Scala
Pipelines
Hadoop
ETL
Cassandra
Data Engineering
SQL
Python
Apache Kafka
Databases

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