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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Internet / E-Commerce |
| Functional Area | Embedded / System Software |
| EmploymentType | Full-time |
As a Senior Engineer, own a component stack, work with the development and big data teams to design scalable big data infrastructures, including technical feasibility and proposal development for Big Data storage, processing and consumptionDesign, coordinate and execute pilots, prototypes or proof of concepts to evaluate new technologies and frameworksPromote technical best practices, industry standards and architectural concepts with engineering teamsProvide profiling and optimization guidance and tuning tips and tricksJob RequirementsA computer science graduate or undergraduate degree or equivalent with 7+ years of building large scalable and reliable enterprise technology platforms using Big Data open source technologies such as Hadoop, HBase, Spark, Kafka and Elastic Search / SolrAt least 5 years experience in large scale, production, server side development on the JVM, Scala, Phython4 years experience working with Big Data technologies such as spark, Hadoop, H-base, k-v stores.Experience with building RESTful API s is a plus.Experience with building real time application is a plus.Hands on experience with engineering developer tools- GIT, Dockerization, Continuous Integration frameworks etc.A passion for software engineering and for developing robust, scalable software systemsPublic Cloud (GCP) working knowledge very significant advantageHands on experience in DevOps practices significant advantage.Excellent verbal and written communicationHighly motivated, goal driven, Can-do approach, curious and open mindedInnovative, entrepreneurial, ability to multi-task,
Keyskills :
aspectfilters frameworkprogramming risk complianceequal employment opportunity big dataopen source