Mavens Guild
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
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