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Senior ETL Test Analyst

Des Plaines, IL, US


JOB TYPE: Permanent, FullTime

The Senior Data Quality Testing Analyst will be responsible for testing all phases of software development on our Big Data team. A successful candidate must be a self-starter, fast learner, have a passion for data, and enjoy being part of a cross-functional Agile Scrum software development team. This person will be responsible for developing test plans, performing data integrity and quality checks, and validating data logic.  Major Job Duties/Responsibilities Responsible for ongoing, continuous improvement in testing efficiency and effectiveness through the use of innovative Quality Assurance practices and tools Explain difficult or sensitive information in a diplomatic way; work to build consensus Perform ad-hoc data analyses as needed Proactively share experiences and knowledge towards the achievement of team objectives Ensure that all feature deliverables meet quality objectives in functionality, performance, stability, and data quality within project timelines Create testing-related documentation including test strategy, test plans, test cases/scripts, and defect reports assessing quality and associated risk Drive different testing strategies for different aspects of a big data system, from data ingestion to system level features, functionality, and scalability Work with Product Owners, Scrum Masters, Software Developers, and other QA team members in an Agile team environment Skills And Requirements BS degree in Computer Science, Analytics, Information Systems or a similar Expert using SQL to investigate and analyze the data loading/transformation processes Experience in creating test strategies for Big Data or Data Warehouse applications Experience with AWS tools such as Athena, Glue, S3, EMR Experience in end-to-end data validation testing in a Big Data or Data Warehouse environment Experience using agile planning tools such as JIRA Experience with Source Code Management Tools such as Git or Bitbucket Data Science skillset in the context of being able to use analytical tools for information discovery, exploratory testing, and Quality Assurance analysis Expertise in one or more Automation tools is a plus Exposure to the Apache suite of tools is a plus: e.g. Hadoop, Sqoop, Oozie, Yarn, TEZ, Hive Ability to maintain and utilize CI/CD solutions such a Jenkins is a plus Exposure to Talend is a plus