Job FamilyData Engineering
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.
Why Work for Us
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