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Our client, one of the leading Singaporean proprietary trading house is looking for a data engineering lead to support their high frequency trading activities and quantitative research. They're trading multiple Asian exchanges and looking for a key talent to lead and develop highly scalable data collection pipelines.
Leading a team of seasoned engineers both in Singapore and remote locations, managing project schedules.
Own and lead the data solution agenda.
Work closely with front office traders and quants and provide timely, accurate
and complete data sets.
Build highly scalable and fault tolerant data pipelines to process and analyze a large volume of messages real time.
Visionary in technical architecture and culture mindset, with good design in data engineering and software development.
Proven technical leadership experience with great people management records.
Extensive experience with data modelling, designing and supporting both streaming and batch ETL pipelines.
Highly capable in SQL and databases.
Proficiency in mainstream programming languages like Python, Java, C++, etc.
Experience with one functional/logic Programming languages.
Experience in Clouds and messaging middleware such as Solace or Kafka.
Bonus - Industry knowhow in buy-side trading, Google BigQuery, machine learning, FP libraries like scalaz/cats/ZIO.
Remote/relocation support available for the right candidate.