Mavens Guild
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 AWS, 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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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 AWS, 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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