Senior level developer for self-service data analytics and data archival platform.  Analyzes, designs, develops and maintains backend and middle-tier components of the application. The position requires hands-on application development experience in Java/J2EE, RDBMS, JDBC/ODBC and Hadoop technologies.

The developer should have strong skills in Java and in at least one or more of following technologies:

Hadoop

Teradata

Oracle

MySQL/Postgres

Primary Responsibilities of the developer will be:

Develop, construct, test and maintain highly scalable databases and large-scale data processing and analytical systems.

Analyzes proposed and actual projects in terms of systems feasibility.

Solving complex problems using a variety of design and programming skills where needed;

Assesses and/or models, designs, plans and recommends changes to specific aspects of systems architecture (e.g. information, application frameworks, design patterns, security, etc.).

Develop and maintain custom software components for data acquisition, data processing and data consumption layer for big data platforms

Assumes leadership role and provides guidance; may lead teams/projects

Qualifications:

Java/J2EE (JDBC, JPA, JDO, etc);

Java 8 (Lambda, Lazy Execution, Streams, Generics, etc);

Compiler fundamentals, parsing, Abstract Syntax Trees, relevant design patterns;

Web application framework like Spring MVC, Hibernate;

Java Unit Testing and Performance Testing;

Distributed architecture, Microservices architecture, RESTful API design, etc;

Server side techniques like cache, search, scheduling, data mapping, Message Queues, Kafka etc;

Application performance analysis and optimization;

Architectural knowledge and expertise in common data platforms and technologies  - specifically in HADOOP ecosystems;

Architectural knowledge and expertise in data capture, transformation and analytics for both structured and unstructured data on big data platforms;

Ability to leverage database software tools and patterns, compare and contrast features and functions across similar architectures and provide best in class solution;

Education and Work Experience:

Bachelor's degree in Computer Science or relevant major;

4 years of minimum relevant experience