Big Data Developer Jobs in Chennai - Aifosys Solutions
Job Description
- Role: Big Data Developer cum Trainer
- Experience: 1 - 5 year
- CTC: Best in industry standards
- Work Location: Chennai
- Should have a strong knowledge in Big Data Hadoop and its related technologies.
- Needs to train in house students, beginners and professionals on Big Data Hadoop.
- Needs to visit different colleges and universities for providing seminars, workshops and training to students on Big Data Hadoop.
- Designing and expanding training and development programmes based on the needs of the individual and the organization.
- Develop easy to understand examples on the topics and ability to learn and prepare PowerPoint slides in short duration.
- Should be willing to travel to other cities in India as and when required by the company.
- Should be willing to learn and upgrade on new technologies as per the training needs.
- Must be presentable and smart and should have strong communication skills .
- Big Data - HIVE/PIG, Java and Spark/Scala.
- Programming - R, Python, SAS, Unix, SQL .
- Databases: Oracle, Dbase, MongoDB .
- Exposure to Machine Learning Algorithms, Pattern Mining/Detection.
- Understanding of Systems- Integration and Technology Platforms
Job Particulars
About Company
ERP applications can help a corporation become more self-aware by linking information about production, finance, distribution, and human resources together. Data Analytics Our Analytics is at its world-class when it is providing practical insights to inform your approach to the real (B2C) challenges you encounter every day-fast. These are the types of practical, powerful business applications that we make real for our clients.
Many of the world’s leading businesses count on us to deliver powerful outcomes, not just insights, for their toughest challenges. Fast. We deploy this deep talent all over the world, at scale. Digital Science Digital science is about the way, disseminated, deployed and transformed by digital tools, networks and media. These issues are often also covered by concepts such as e-science, e-infrastructures, open science, science 2.0, web science, or internet science. Adopting a new term makes it possible for the Commission to define its scope in the most meaningful way for promoting excellent science in the context of the Digital ERA.
