o Proven work experience as a Data Architect, Data Scientist
o In-depth understanding of database structure principles and big data engineering.
o Expertise in SQL and Oracle, and writing SQL queries against large data sets.
o Experience with Elasticsearch & Apache Hive
o Experience with SAS, R, Python, and/or other analytical tools, cloud databases, migration to cloud databases, and data lake architectures.
o Experience with Java, C, and / or C++
o Experienced with agile development methods.
o Experience gathering and analyzing system requirements
o Experienced reviewing and assessing existing enterprise data-driven applications, to support new features, performance improvements, upgrades, and ongoing sustainment.
o Highly-skilled at analyzing a large, complex system to determine performance bottlenecks, application bugs, and opportunities to improve efficiency.
o 7+ years of experience in data warehouse, analytics & reporting systems.
o Experience with Redis
o Proficiency in developing very large distributed systems with low-latency streaming.
o Knowledge of data mining and segmentation techniques.
o Familiarity with data visualization tools (e.g. Tableau, D3.js and R)
o Demonstrated experience with databases, business intelligence tools, reporting, analytical environments, data management and warehousing, and the strategic use of information.
o Ability to synthesize diverse requirements and communicate them to different audiences (both technical and non-technical).
o Experience developing enterprise-level software from the ground up, prototype to production.
o Highly effective written and verbal communication skills.
o Deep understanding of a wide variety of analytical processes including, regression, predictive modeling and forecasting.
Minimum Requirements: PhD plus 5 years minimum experience, or MS plus 8 years minimum experience