Big Data Analytics Developer

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients – including governmental agencies and private companies – throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data' algorithmic platforms --

Job responsibilities include implementing the analytics infrastructure, data integration with both streaming and batch sources, efficient distributed processing, and managing predictive analytics models.

Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure.

Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST).

My client is currently building a cloud-based analytics platform using open source and SaaS tools--should have experience with Apache Kafka and Samza.

Candidate should have a strong understanding of Test-Driven Development, Agile Methodologies, Continuous Integration, and Continuous Deployment--along with analytics techniques such as Machine Learning and Bayesian Methods.

Must be familiar with No

SQL on the back end.