Sr. QA Analyst to create and execute automation tests for Data/ETL projects using TOSCA for a large insurance client -

Duration:6 Months(possibility for extension)

Location:Remote

*ERC required

Applications Operations Services & Quality Engineering (AOSQE) is looking for a Senior Software Development Engineer in Test (Data/ETL Testing) with a proven track record of leading testing activities to join the Data Testing Chapter. The successful candidate acts as the Quality Advocate and is responsible to ensure the delivery of quality solutions to our clients through testing.

Must haves:

5+ years ofQuality Assuranceexperience withData and ETLtechnologies-based projects. Experience onTest Automation Toollike (Tosca Automation Specialist Level 1 & Level 2 andTosca Data IntegritySpecialist) or any Data Testing related automation tool. Experience withSQL(creating, maintaining, and editing queries) Strong knowledge ofPythonto be able to work on the test automation toolFI/Insuranceexperience

Nice to haves:

University degree in Computer Science or equivalent practical experience Certification on the TOSCA and TOSCA Data Integrity (DI) Tool. Prior experience on Anti Money Laundering Project. Experience with data warehouse, enterprise data lake, and other big data tools and concepts Knowledge of DevOps (Jenkins), Continuous Integration and delivery concepts, specifically continuous testing

Job Responsibilities:

Will act as a Sr. Quality Engineer in a mid/large size program.  Creating and Executing Test Automation Scripts on TOSCA Automation Tool.  You will be accountable of writing test strategy, test planning, execution and managing the entire end-to-end UAT and BAT testing. You will be mainly working on the Data and ETL Technology based projects. You will be working closely with the already existing QE Team and delivering the stories assigned to you. You will be working in an agile delivery model; tickets will be assigned to you as a User Stories through the Jira board. Responsible for coordinate with the existing QE team members, Business System Analyst, Developer and Scrum Master. You will be working on an AWS related technologies - S3 bucket, DB Visualizer, Glue and Redshift. Also, on the Microsoft SQL Server. Participating in an onboarding/Knowledge Transition sessions, listening the recorded training materials and developing the understanding based on the information available in recording. Apply an automation-first mindset to testing activities. Provide the IT and Business teams with detailed information on any defects found and help prioritize defects based on risk. Defect Management using qTest and report status and/or metrics to project stakeholders.