Sr Data Engineer

Peninsula, CA | Direct Hire

Post Date: 04/20/2018 Job ID: JOS000007369


    • Working on the company's Data & Infrastructure Projects 
    • Experience or demonstrated interest in Big Data Technologies 
    • Enhance and further develop Big Data processing pipelines for data sources containing structured and unstructured data 
    • Monitor and optimize key infrastructure components such as Databases, EC2 Clusters, and other aspects of the stack 
    • Help promote best practices for Big Data development 
    • Act as a bridge between the infrastructure and application engineering teams 
    • Provide infrastructure support with a focus on cloud based computing 
    • Build and support visualization and exploration capabilities around our Data Sets 
    • Work with the Data Extraction and Data Science engineers on normalization and analytical processes 
    • Work in an Agile manner with business users and data scientists to understand and discover the potential business value of new and existing Data Sets and help productize those discoveries 
    • Help design and implement disaster recovery efforts 
    • Analyzes requirements and architecture specifications to create detailed design 
    • Research areas of interest to the team and help facilitate solutions 

Desired Skills and Experience

    • 5+ Years of professional experience as a Data Engineer or a Backend / Full Stack Software Engineer looking to move into Data Engineering 
    • Skills required: Java, SQL 
    • Great if candidate has experience in any of the following Python, Ruby on Rails, PostgresSQL, Redshift, Elasticsearch, ETL, Spark, Storm 
    • Startup experience 
    • Flexible team player 
    • Willingness to roll up your sleeves and get stuff done 
    • Willingness to learn and do whatever it takes to meet deadlines in a quick, ever-changing environment 
    • In 30 days, you will have deployed fixes to production and have an understanding of how Data is consumed/transformed/stored and the Key Infrastructure Projects 
    • In 60 days, you will have taken on a key greenfield production project, working independently or with team mates to deliver the project 
    • In 90 days, be a key individual in the team and wider engineering department, helping to deliver important data driven solutions

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