We’d Love to See:
Develop, test and support new features in our entity resolution and analytics projects using Scala functional programming. Write new code in Scala in order to improve our identity resolution accuracy and functionality using Maven and GIT for versioning and code build. Write new Scala code with Spark and Hadoop and Map Reduce Framework for big data. Write new Java, Scala, and Python code to move the current product into microservice based framework using Kubernetes, Docker Container, Redis, RabbitMQ. Test the fully functional code and integrate it to work on cloud providers such as Amazon Webservices and Google Cloud Platform. Create new designs and write code to be run using GCP tools and frameworks such as Dataproc, BigTable, Cloud Composer, BigQuery, and GKE. Write new code to test the system’s ability to meet its stated requirements. Collaborate with Quality Assurance (QA) on test cases. Collaborate with cross functional teams to convert the product and platform priorities to user stories in Jira and specify their completion criteria. Define and document processes that the Data Quality team will implement to ensure consistency of build processes. Coordinate sprint completion and acceptance activities. Plan and communicate product and platform releases to internal and external stakeholders. Troubleshoot and analyze issues brought up from our clients. Work with Unix and Linux to create and maintain applications. Set up and develop code to utilize Redis in-memory key-value store. Perform Hive and Spark queries of datasets in order to catch errors in identity resolution or data transformation processes. Work with clients to understand their usage patterns of data so that discrepancies can be identified.
 
 
Job Requirements 
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