Data Engineer

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Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. This division offers an array of quantitative investment fund products to its clients. The firm is seeking candidates with exceptional academic credentials to join and support the firm’s efforts in the research, trading and production processes.

Data Engineers are responsible for the data infrastructure. They build systems designed for reliable data delivery and ingestion. Data Engineers develop and maintain internal and external facing APIs. They care deeply about data cleanliness and developing robust data pipelines.

They will be responsible for production-grade data pipelines, databases, and data availability.

• Production-grade, big data ETL pipeline experience.
• Building and maintaining distributed services.
• Hadoop, Spark, Apache Beam, Dataflow, Hive, Storm, etc.
• Real-time big data streaming.
• Microservice architecture design and development.
• Strong understanding of data structures and algorithms.

• Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
• Experience building and deploying distributed SQL & No
  
  SQL databases (i.e., Cassandra).
• Experience scraping large-scale public data-sets in real time.
• Distributed, GPU-based cluster architecture.
• Experience with large-scale ML engineering.
• Experience building frontend systems.

• Entry level

• Full-time

• Information Technology