Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
Culture
Must be a strategic thinker with the ability to think unconventional / out:of:box.
Analytical and solution driven orientation.
Raw intellect, talent and energy are critical.
Entrepreneurial and Agile : understands the demands of a private, high growth company.
Ability to be both a leader and hands on "doer".
Qualifications: -
3-5 year track record of relevant work experience and a computer Science or a related technical discipline is required
Experience in development of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, and propose comprehensive solutions.
Experience with functional and object-oriented programming, Java (Preferred) or Python is a must.
Hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.
Development and support experience in Big Data domain
Experience with database modelling and development, data mining and warehousing.
Unit, Integration and User Acceptance Testing.
Effective communication skills (both written and verbal)
Ability to collaborate with a diverse set of engineers, data scientists and product managers
Comfort in a fast-paced start-up environment.
Preferred Qualification:
Experience in Agile methodology.
Proficient with SQL and its variation among popular databases.
Experience working with large, complex data sets from a variety of sources.
Note:
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