Senior Spark & Python Developer

Mavens Guild

  • McLean, VA
  • 30+ days ago

    Highlights

    Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development tools within AWS (EMR, S3) cloud based infrastructure. A typical day as a Senior Spark Programmer: Develop fault tolerant, streaming as well as batch data integration processes using Spark/PySpark, Java and performance enhanced SQL.

    Numbers & Facts

    LocationMcLean, VA

    Description

    What we would like to see:

    In a senior developer role, you will design and build data flow and data integration processes to enhance loss prevention technologies for a leading financing firm. Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development tools within AWS (EMR, S3) cloud based infrastructure.

    A typical day as a Senior Spark Programmer:

    • Develop fault tolerant, streaming as well as batch data integration processes using Spark/PySpark, Java and performance enhanced SQL

    • Develop and lead development efforts of application programming interfaces to enable integration of fraud detection systems with a host of new reporting and data mining tools

    • Design and develop automation of data flow tasks and end-to-end process testing

    • Design and develop scalable frameworks to ingest, transform, store, and present loss prevention information to downstream systems

    • Implement and lead implementation of Agile best practices and a continuous integration ecosystem

    • Implement and lead implementation efforts of Spark/Python based solution architecture, scalable process frameworks, advanced analytics, and responsive RESTful services

    What you will need to bring to the table:

    • 5+ years experience with processing of structured, unstructured and semi-structured data using in-memory cluster computing technologies, specifically with Spark

    • 5+ years experience as a Java programmer

    • 3+ years experience programming in Python (PySpark API)

    • 3+ years experience with cloud services offered through AWE, like EMR, Redshift, or S3

    • 3+ years experience in developing, testing and deploying RESTful APIs for high volume data streams

    • Experience with continuous integration tools like Jenkins

    • Experience working in a distributed computing infrastructure like Hadoop and/or Spark

    • Critical and analytical approach to solving technical problems 

    • Excellent interpersonal skills and ability to clearly communicate highly technical concepts to business stakeholders and technical developers alike

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