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Software Engineer - Data Engineering
Akuna Capital
Chicago, USA
Mid · 5+ years experience
Discovered 1 weeks ago
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About Akuna
Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation.
We specialize in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell.
To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.
Our Founding Partners first conceptualized Akuna in their hometown of Sydney.
They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago.
Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore.
What you’ll do as a Software Engineer on the Data Engineering team at Akuna:
We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success.
The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna’s data assets.
The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna’s Quant, Trading, and Business Operations business units.
In this role, you will:
- Work within a growing Data Engineering division supporting the strategic role of data at Akuna
- Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
- Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
- Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark.
- Mentor junior engineers in software and data engineering best practices
- Produce clean, well-tested, and documented code with a clear design to support mission critical applications
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