Data Engineer

Responsibilities:

• Partner with COO, Head of Technology, and Engineering Leads for digital assets to evaluate data providers and implement strategic roadmap for the research platform.
• Analyze real-time and historical digital asset data sources and work to integrate into firm platforms similar to existing asset classes.
• Gather and process raw data at scale.
• Build solutions to process unstructured data into a form suitable for analysis and ingest into the platform. This includes a strong emphasis on data quality and resiliency.
• Work with other members of the team to ensure data is ingested, stored, and managed properly to support our analytical needs.
• Helping define automation and management of cloud infrastructure and services using native tools, open source tools, and third party products.
• Implement platform telemetry and reliability systems for performance tuning and troubleshooting, and to trigger automated actions based on events or thresholds.

Qualifications:

• 4+ years of experience building scalable and reliable data pipelines based on Big Data processing technologies like Hadoop, Cassandra, MapReduce, Spark, etc.
• 4+ years of combined hands-on experience in Java and Python, with examples of reusable and efficient code to automate analyses and data processes.
• 2+ years of experience deploying and managing cloud environments for data pipelines and intelligence services for digital assets.
• Experience processing large amounts of structured and unstructured data from disparate sources with strong emphasis on quality controls and resiliency.
• Strong knowledge of and experience with statistics; potentially other advanced math as well.
• Broad understanding of financial services instruments helpful.

Key Skills:

• Data Warehousing. 
• Data Architecture. 
• Coding. 
• Operating System. 
• Apache Hadoop-Based Analytics. 
• Machine Learning.

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