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Head of Data Production

Location : Raleigh, North Carolina
Job Type : Direct
Hours : Full Time
Required Years of Experience : 5+
Required Education : Bachelor's Degree
Travel : No
Relocation : No

Job Description :





Overview


The Central Data Organization is focused on acquiring, processing, and extracting insights from the ever-growing data universe using traditional and cutting-edge methodologies. We are looking for a leader to grow and shape the direction of the Ingestion / Support team. This team will serve as the backbone for our Big Data initiative and will be responsible for using proprietary tools to efficiently acquire, clean, map, QC, stage and support a wide range of data, both structured and unstructured.




We offer the opportunity to work in a new and rapidly growing organization within a leading global hedge fund. Our team is at the forefront of big data and leveraging cutting edge tools and techniques. You will work with amazing teammates in a dynamic work environment. You will be presented with challenging data problems to solve each day. You will also get access to a ton of data beyond your wildest imagination, that will put your skills to the test.








Key job responsibilities include:



  • Manage team of production / support professionals across multiple locations

  • Understand challenges and bottlenecks that stem from working with a range of data sets (both structured and unstructured)

  • Own team metrics and manage SLAs

  • Proactively problem solve and identify areas of improvement to guide development of industry leading tools used by ingest / support team

  • Work closely with end stakeholders to understand project requirements and priority

  • Drive a culture of continuous improvement 






Required Qualifications :





Suggested skills/experience:









  • Must love data

  • 5+ years of experience working with data production

  • 3+ years managing technology resources located in multiple locations

  • Good understanding of data modelling

  • Obsessive attention to detail

  • Experience in ETL tools and frameworks

  • Experience in Web data extraction

  • Experience in Unix/Linux/Scripting

  • Experience programming in Python and/or R

  • Experience with SQL

  • Experience with NoSQL (e.g., ElasticSearch, Mongo, Cassandra) a plus








Education:









  • Bachelor degree in a technical field (e.g., Computer Science, Operation Research, Finance, Economics, Engineering, Physics, Math) 






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