Our Profession is our Passion! We atRangTechspecialize in planning, implementing, managing, and staffing InformationTechnology Solutionsand Services. Our goal is to help our clients define their investments in technology, optimize processes that bring fast-track success, and deliver business-critical applications to improve performance. We value diversity. We operate as one team, bringing highly qualified and experienced software and management professionals with advanced degrees in Computer Science, Management, Engineering, Statistics and Bioinformatics.
The values that drive our success are:
Strategy:Wehelpour clients growth by achieving competitive advantage and creating value.
Quality:We believe in Quality First and Quality Must in solutions we deliver.
Support:We bring ideas and talent to empowerbusiness performancewith new-age technologies.
We take pride inbuildingstrategiclong-term relationship with our clients.
Bachelors degree in Computer Science/ IT or equivalent work experience
6 or more years experience translating requirements into technical design specifications, coding components, unit testing, code reviews, change management and release procedures
Advanced knowledge and experience of System Development Life Cycle (SDLC), product development methodologies, database design concepts and system integration strategies.
Proficient communication skills both verbal and written
Experience working on multiple Hadoop projects
Demonstrated experience with Big Data Components/Frameworks (Hadoop, HBase, MapReduce, HDFS, Pig, Hive, Sqoop, Flume, Oozie,YARN)
Good knowledge of HBase schema design and optimization
Experience having worked in large databases is a must
Solid SQL experience is a big advantage.
Familiarity with MapR M7 is highly desirable
Good in Requirements gathering and analysis
Should be experienced in SQL, core Java/Python/Perl is required
All your information will be kept con*Data Science training will focus on Data Mining and Predictive Modeling methods. We will introduce other tools of data mining such as SPSS, R, PYTHON, Weka, Rapid Miner, and SQL. Interview Preparation.
*Clinical training will focus on CDISC-compliant real-time projects and Interview Preparation.
In-classroom training: We would request you to bring your personal laptop and stationaries for the in-classroom training. Please arrive at the office 5 minutes early to check-in.
In-classroom Training Location: 15 Corporate Place South, Suite 356, Piscataway, NJ 08854
Online training: We use Webex to conduct the online training. Our trainer will send out WebEx invitation to your email address in our record around 7:55 each morning before the training session and please login (on laptop)/dial in (cell phone) to the training session use the link provided. The login process may take some minutes, so please start ahead around 7:55am.
Please feel free to contact us if you have any questions or concerns.