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 & RCMP Clearance required(this role is required to work on a restricted test data)
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 of
Quality Assuranceexperience with
Data and ETLtechnologies-based projects. Experience on the
Test Automation Toollike (
ToscaAutomation Specialist Level 1 & Level 2 and Tosca Data Integrity Specialist) or any Data Testing related automation tool. Experience with
SQL(creating, maintaining, and editing queries) Strong knowledge of
Pythonto be able to work on the test automation tool
FI/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. Working in an agile delivery model; tickets will be assigned to you as a User Stories through the Jira board. Responsible for coordinating with the existing QE team members, Business System Analyst, Developer and Scrum Master. Learn the in-house Data Testing Automation Framework and use it in a day-to-day testing activity. 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. Responsible for managing & developing test activities (program/project test plans and strategies, test case creation and test execution) and aligning to Sun Life Quality Engineering practices. 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.