Are you an experienced professional who wants to contribute to the analytics community? Here is your opportunity
Designation – Faculty
Location – Bangalore
About employer – Jigsaw academy
Jigsaw Academy aims to meet the growing demand for talent in the field of analytics by providing industry-relevant training and education to develop business-ready professionals.
Jigsaw Academy’s USP:
- Analytics training focused on business applicability
- Content developed by industry practitioners with experience across multiple domains
- Faculty also from industry, full-time and part-time, with experience in training delivery
- Course content covers general subjects as well as more specialized areas (example, Churn analytics, Risk analytics etc )
- Content can be customized per corporate requirement
- Tool training provided along with analytics methodology training
Jigsaw Academy is working with the IIM Bangalore faculty to develop and validate the course content.
Job description:
Jigsaw Academy is looking for experienced Big Data/Hadoop professionals to join as full-time faculty for providing training on big data analytics.
Responsibilities:
- Industry Interface
- Work closely with industry experts to develop new courses around big data applications in analytics
- Take up industry workshops and corporate trainings on existing and new big data trends and technologies
- Contribute articles to Jigsaw’s blog as well as other big data blogs/websites related to our course offerings
- Content Development and Management
- Identify and develop new content across big data technologies related to data analysis and analytics
- Be Jigsaw’s SME on all big data/Hadoop related content and topics on business use cases, technologies and applications
- Evaluate and project manage content developed by other faculty, full time or part time, and content developers used by Jigsaw , that based in India and globally
- Continuously identify improvement areas and update existing content based on student feedback
- Work closely with content editing team to provide input into content effectiveness
- Teaching
- Teach multiple classes for Jigsaw related to big data courses
- Manage Jigsaw online and offline evaluations and assignments
- Continuously improve on teaching methodology to suit online model to lead to high student satisfaction
- Work closely with other faculty and industry experts to develop question banks and case studies for use in teaching and assessments
- Course Co-ordination
- Be responsible for big data course in terms of content development and day-to-day operations
- Work closely with student support and operation teams in planning and executing a course
- Evaluate new faculty for both teaching aptitude and content development
- Provide additional support as and when required for all Jigsaw students
Qualification and Skills Required:
- Engineering degree or post graduate degree in Computer Science or equivalent experience
- Minimum 2-3 years of developing and implementing Hadoop solutions in a corporate environment with a total of 5 to 15 years’ experience
- Should be comfortable working with large data sets and distributed computing frameworks
- Hands-on experience working with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, HBase, Flume)
- Knowledge about Hadoop Distributions like Cloudera or HortonWorks is required
- Hands-on experience with open source software platforms and languages (e.g. Java, Linux)
- Knowledge of cloud computing infrastructure (e.g. AWS EC2) is needed
- Experience with data mining and statistical packages will be a plus
- Hands-on experience with BI tools and reporting software (e.g. Microstrategy, Tableau) will be a plus
- Working knowledge of statistical tools such as R, SAS etc will be a plus
- Very strong oral and written communication skills and an aptitude for teaching. Prior teaching experience is desirable, but not necessary
- Ability to work independently, with minimum direction, and exhibit high levels of initiative in a rapidly changing environment.
Interested candidates can mail their CVs to [email protected]
