Java Developer With Big Data Job in Webyops Inc

Roles & Responsibilities Guide the team and resolve any issues they are facing. Lead meetings with stakeholders and Vendors. Design and implement data and analytics solutions to meet immediate business needs, while aligned with future state architecture and industry trends. Architect and design Big Data Services in the cloud with fit for purpose considerations for cloud products and services. Develop engineering search and catalog capabilities for Big Data analytics. Improve the data quality framework for Big Data. Create an end-to-end vision of how data will flow through an organization. Desired Skills Excellent knowledge on NoSQL platforms. Excellent communication (Oral/Written) skills, ability to articulate solution decisions to clients, internal stakeholders. Expertise in J2EE, Java. Ability to use Data Ingestion tools, Kafka Broker Services, Flume, Spark, Sqoop, MapReduce. Knowledge of Hadoop Distributed File System HDFS Hive, Apache Kudu, HBase. Knowledge of Security Architecture for Cloudera Enterprise on MS Azure. Qualifications At least 5 years experience planning, building or running enterprise-scale data analytics solutions. Experience using open source technologies like Hadoop, Hive, Spark, MapReduce, etc. Expertise in Implementing Data lake, data hub using Big Data technologies. Experience using cloud platforms like AWS to build analytics solutions. Amazon AWS stack experience using EMR, Kinesis, Athena, Redshift, QuickSight, Elasticsearch, etc. Experience on cluster sizing (Cloud/on premise), infrastructure planning, installation and administration of Hadoop Cluster based on any of the available Hadoop Distributions. Experience on managing large data ingestion. Hands-On experience on ETLS tools like Talend. Experience with data visualization and statistical tools like Tableau, Qlik, PowerBI, SAS, R, SPSS. Experience with sensor/streaming type data (IoT) within an automated manufacturing environment. Bachelor s Degree in Computer Science, Computer Engineering or a closely related field.