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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other SoftwareSales / BD |
| EmploymentType | Full-time |
Description Analytics is one of top focus areas for Yodlee and this position represents opportunity to be part of high growth teams driving innovation. Yodlee Big Data supports the fastest growing business vertical at Envestnet Yodlee with several niche customers using our analytics solutions. The business has grown many folds since its inception in 2012 and the exponential growth continues. We are looking for a leader in big data & analytics engineering landscape who can demonstrate the ability to conceptualize a vision for big data technology needs for current and future; who can lead enable Yodlee Analytics to evolve, adopt and mature in its analytics technology stack to stay competitive in the market. Role and Responsibilities Strong technical contributor to design and implementation in the area of cloud computing and a wide and growing open source ecosystem to build out product features Explore Big Data ecosystem and bring in new ideas/ innovation to the table and drive continuous improvements to the current platform to improve efficiency, scalability & reliability Conceptualize and implement a flexible and highly scalable analytics delivery mechanism through micro- service architecture Recruit, motivate and lead the best Analytics Engineering & Technology talent Work hand- in- hand with Data Science and Business Analytics teams to drive synergy for end to end analytics solution delivery Work with external & internal stakeholders to identify technology gaps in our products, bring in new ideas/ innovation from the Big Data ecosystem, and help drive adoption of newer technology through proof of concepts Be an influencer in analytics leadership, participate in strategic discussions, positively influence and contribute to organization s data management & data security policies Qualifications and Experience BE/ B Tech/ Masters in Computer science and Engineering, or related area 12+ years of professional experience in engineering & technology development & delivery 5+ years of experience with big data technologies implementation Strong background in Big data technology stack Hadoop, Map- Reduce, Hive Spark, Scala, Nosql, Kafka and host of Big Data open source stack Experience with Enterprise Java and Web application design and Micro- service architecture Experience in refactoring and re- engineering of enterprise systems Experience in code performance tuning and debugging Experience in leading/ mentoring junior technology resources Demonstrable excellence in innovation, problem solving, analytical skills Good communication, negotiation & influencing skills Exposure to Product Delivery Management and Business Stakeholder Management Exposure or understanding of Financial Services domain would be a plus,
Keyskills :
java design business hive hadoop cloud scala spark features map science nosql proof security igdata