Job Details: Bigdata/Hadoop Developer

Job Title : Bigdata/Hadoop Developer
Job Ref No : 26288-0001
Job Posted Date : 8/14/2019
Job State : Texas
Job City : Plano
Who Can Apply : US Citizens, Any Work Visa
Skills Required : None of the above Skills,

Job Description :

Job Title: Senior Engineer Big Data & Analytics Job Location: Plano, Texas Job Duration: 12+ Months The Senior Engineer will report to the Senior Manager Business Intelligence & Analytics. Primary Responsibilities: Developing automated methods for ingesting large data-sets into an enterprise-scale analytical system using Scoop, Spark and Kafka Identifying technical implementation options and issues Partners and communicates cross-functionally across the enterprise Ability to explain technical issues to senior leaders in non-technical and understandable terms Foster the continuous evolution of best practices within the development team to ensure data standardization and consistency Core Competencies & Accomplishments: 8 + years of professional experience 3+ years of experience with Big Data technology and Analytics Good experience in Java 3+ years of experience in ETL and ELT data modeling Experience working with traditional warehouse and correlation into hive warehouse on big data technologies Experience setting data modeling standards in Hive Experience with streaming stacks like Spark Understanding of Big Data tools (e.g., NoSQL DB, Hadoop, Hbase) and API development consumption. Proficiency in using query languages such as SQL, Hive Understanding of data preparation and manipulation using Datameer tool Knowledge of SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment Knowledge of setting standards around data dictionary and tagging data assets within the Data Lake for business consumption. Experience in one or more languages (e.g., Python or Java, Groovy) Experience with data visualization tools like Tableau Experience in agile software development paradigm (e.g., Scrum, Kanban) Strong written and verbal communication.

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