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Job Description
Design, build, deployment, of ETL/ELT data pipelines within big data ecosystems (Impala, Hue, Spark, Talend and Cloudera) Develop technical design, and ETL specification documents Manage, monitor, and fine tune Hadoop cluster architecture (HDFS) jobs for performance, security and resource management.
Create detailed designs and POCs to enable new workloads and technical capabilities on the Platform.
Work with the platform and infrastructure engineers to implement these capabilities in production Minimum 5 years of experience with development to centered around big data applications, and transformation of unstructured raw data Minimum 5 years Relational DBA experience, preferably with experience in SQL server and/or MySQL Experience with Talend and Cloudera Manager, Navigator, and Data Science Workbench Design, build, and maintain Big Data workflows/pipelines to process continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines Demonstrated work experience in the following with Big Data and distributed programming models and technologies Development of ETL processes using Spark or other highly parallel technologies, and implementing ETL/data pipelines Experience with data technologies and Big Data tools, like Spark, Kafka, Hive, Hadoop Knowledge of database structures, theories, principles, and practices (both SQL and NoSQL) Understanding of Map Reduce and other Data Query and Processing and aggregation models Understanding of challenges of transforming data across distributed clustered environment Experience with techniques for consuming, holding and aging out continuous data streams Location: WFH and client site
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