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Bigdata Architect


ClearTrail Technologies


Location

Noida | India


Job description

Experience in software design and development with degree in Computer Science from reputed institution. ​ Expert in designing and architecting big data systems, with very strong experience in designing data lake, backend analytics pipelines. Expert in Hadoop ecosystem and different frameworks inside it – Spark, HDFS, YARN, MapReduce, Apache Pig, Hive, Flume, Sqoop, ZooKeeper, Kafka ​ Must be advanced in problem solving skills using advanced algorithms Must be well versed with any of the Java/Python programming language Must be well versed with Design patterns and Object-Oriented programming ​ Must have exposure to NoSQL technologies (Hbase/Cassandra/MongoDB) ​ Must have exposure to searching and indexing technologies (Solr/Elasticsearch) ​ Must have experience in installation/working with large scale Hadoop clusters ​ Should have worked on open-source products ​ Good communication, problem solving & interpersonal skills. Self-starter & resourceful personality with ability to manage pressure situations ​ Capable of providing the design and Architecture for typical business problems ​ Out of box thinker and not just limited to the work done in the projects

Roles & Responsibilities Working closely with the Manager and stakeholders to understand business requirements and help translate these into technical requirements for the development team. ​ Planning and documenting technical specifications for features or system design. ​ Directing the development team in the design, development, coding, testing and debugging. ​ Guide team development efforts towards successful project delivery. ​ Identify and encourage areas for growth and improvement within the team. ​ Learning and implementing solutions involving the various bigdata tools like Hadoop/ NoSQL etc. ​ Design/ Architect/ Implement various solutions arising out of the large data processing (GB’s/ PB’s) over various NoSQL, Hadoop and MPP based products ​ Driving various Architecture and design calls with Big Data customers


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