Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Job Location: must live near NY, PHL, NJ, Chicago, Dallas, Denver, Seattle, anywhere in California, be open to travel 60%-80% if needed.
Work in cross-disciplinary teams with industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data, and operational data
Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, with a particular emphasis on Microsoft Azure
Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and their own clusters
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations
Candidates must be willing to travel up to 80%
Bachelor’s degree from an accredited college or university in Computer Science, Computer Engineering, Engineering or a related field with seven years of experience; a Master’s degree with five years of experience, or a PhD with two years of experience
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly
Understanding of cloud, and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk
Experience with Large Scale/ Big Data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
Strong written and verbal communication skills, ability to work in dynamic team environments, and multi-task effectively.
Proficiency in Unix/Linux environments and ability to develop in terminal environments
Prior Consulting Experience
Experience working in a team based environment with multiple client priorities and demands