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Coders Brain Technology Pvt. Ltd.

<div>Experience:3 to 5</div><div>&nbsp;&nbsp;</div><div>Responsibilities&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;As a Spark developer you will manage the development of scalable distributed Architecture</div><div>defined by the Architect or tech Lead in our team.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Analyse, assemble large data sets to designed for the functional and non-functional</div><div>requirements.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;You will develop ETL scripts for big data sources.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Identify, design &amp;amp; optimise data processing &amp;amp; automate for reports and dashboards.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;You will be responsible for workflow optimizations, data optimizations and ETL optimization</div><div>as per the requirements elucidated by the team.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Work with stakeholders such as Product managers, Technical Leads &amp;amp; Service Layer</div><div>engineers to ensure end-to-end requirements are addressed.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Strong team player to adhere to Software Development Life cycle (SDLC) and</div><div>documentations needed to represent every stage of SDLC.&nbsp;</div><div> General Qualifications:&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;BE/BTech/MCA/MTech/MSC with 3-5 years of experience with Apache Spark development</div><div>or in alternative Data Engineering &amp;amp; analytics frameworks.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Overall experience in the field Java/Scala as a Backend developer could be between 3 years.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Working experience in Bigdata is important.&nbsp;</div><div> Technical Skills&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Programming experience in Java/Scala is needed. Experience in Python also will have an</div><div>advantage.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Writing ETL Stack in scalable &amp;amp; optimized fashion using Apache Spark/Hadoop/Kafka etc.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Should have working experience in writing distributed &amp;amp; optimized Apache Spark jobs for</div><div>various Machine Learning Algorithms.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Experience building and optimizing data pipeline and data sets is essential.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Should have worked with Kafka, at least one of No SQL databases (e.g. Cassandra,</div><div>MongoDB, elastic DB) and at least one of RDBMS (e.g. MySQL)&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Working experience to use cache such as Redis, Apache Ignite, Hazelcast will advantage.&nbsp;</div><div> .&nbsp;&nbsp;&nbsp;Working knowledge of Docker and Kubernetes will be a plus.&nbsp;</div><div>Kindly find the below inputs from customer to get quality profiles</div><div> Include the criteria apart from Spark à Experience in No sql databases (elastic search OR</div><div>Cassandra OR MongoDB), Apache Kafka.</div><div> Look for Spark Streaming (people who have used Sqoop, likely doesn’t know Spark Streaming).</div><div> Scala or Java based work experience using Spark is a MUST. Python usage with Spark is</div><div>optional, not must.</div><div><br></div><div>Spark streaming ,Kafka experience is mandatory for this requirement. </div>