Job Description SummaryThis is a senior level role, responsible for the vision, deployment and administration of Hadoop enabled infrastructure as a core service to all business functions.Job Description
* Apply proven expertise and build high-performance scalable data warehouses * Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts) * Securely source external data from numerous partners * Intelligently design data models for optimal storage and retrieval * Deploy inclusive data quality checks to ensure high quality of data * Optimize existing pipelines and maintain of all domain-related data pipelines * Ownership of the end-to-end data engineering component of the solution * Collaboration with the Data Center SMEs, Data Scientists, and Program Managers * Support on-call shift as needed to support the team * Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
* Bachelor's degree or Maser degree in Computer Science, Software Engineering, or related field * 5 + years of SQL (Oracle, Vertica, Hive, etc.) experience and relational databases experience (Oracle, MySQL) * 5 + years of experience in custom or structured (i.e. Informatica/Talent/Pentaho) ETL design, implementation and maintenance * 5 + years' experience in data engineering, experience in applying DWH/ETL best practices * 5 + years of Java and/or Python development experience * 5 + years of experience in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive) * 5 + years of experience working with enterprise DE tools and experience learning in-house DE tools * 3+ years exp in AWS data solutions stack - EMR, S3, redshift, Kinesis, ECS, Docker * 3+ years exp in CI/CD stack - Jenkins , Git
* Master's degree in a related field. * Cloudera Administrator certification.
* Office environment.
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