Spark Developer - Hive/Cassandra

Role : Spark Developer Job Description : - Work with development teams and product managers to build new product features, enhancements etc. - Build the front-end of applications through appealing visual design - Develop and manage well-functioning databases and applications - Design & develop data and event processing pipelines - Test software to ensure responsiveness and efficiency - Troubleshoot, debug and upgrade software - As a Spark developer you will manage the development of scalable distributed Architecture defined by the Architect or tech Lead in our team. - Analyse, assemble large data sets to designed for the functional and non-functional requirements. - You will develop ETL scripts for big data sources. - Identify, design optimise data processing automate for reports and dashboards. - You will be responsible for workflow optimizations, data optimizations and ETL optimization as per the requirements elucidated by the team. - Work with stakeholders such as Product managers, Technical Leads Service Layer engineers to ensure end-to-end requirements are addressed. - Strong team player to adhere to Software Development Life cycle (SDLC) and documentations needed to represent every stage of SDLC. - Must have good knowledge on Big data tools HIVE and HBASE tables - Should have experience on Spark Streaming - Must have good knowledge on SQL - Must have good knowledge on Data warehouse concepts o Must have good analytical skills to analyse the issue o Should have Hands-on Unix/Linux knowledge - Must have very good client communication and interfacing skills o Knowledge on AWS will be will be an advantage. General Qualifications: - Overall experience in the field Java/Scala as a Backend developer could be between 3 years. - Working experience in Bigdata is important. Technical Skills : - Programming experience in Java/Scala is needed. Experience in Python also will have an advantage. - Writing ETL Stack in scalable optimized fashion using Apache Spark/Hadoop/Kafka etc - Should have working experience in writing distributed optimized Apache Spark jobs for various Machine Learning Algorithms. - Experience building and optimizing data pipeline and data sets is essential. - Should have worked with Kafka, at least one of No SQL databases (eg Cassandra, MongoDB, elastic DB) and at least one of RDBMS (eg MySQL) - Working experience to use cache such as Redis, Apache Ignite, Hazelcast will advantage. - Working knowledge of Docker and Kubernetes will be a plus. - Kindly find the below inputs from customer to get quality profiles - Include the criteria apart from Spark Experience in No sql databases (elastic search OR Cassandra OR MongoDB), Apache Kafka. - Look for Spark Streaming (people who have used Sqoop, likely doesn t know Spark Streaming). - Scala or Java based work experience using Spark is a MUST. - Python usage with Spark is optional, not must. - Spark streaming ,Kafka experience is mandatory for this requirement. (ref:hirist.tech)

Location: in, IN

Posted Date: 10/26/2024