The IT Quality Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
Responsibilities:
Qualifications:
Education:
Candidate is expected to
• Own and drive automation in Data and Analytics Team to achieve 90% automation in Data, ETL space.
• Implement CI/CD pipelines to automate regression suites to fully support Handsfree execution.
• Design and develop integrated portal to consolidate utilities and cater to user needs.
• Supports initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production.
• Specialists who can work with technology team to design and implement appropriate automation scripts/plans for an application testing, meeting required KPI and automation effectiveness.
• Ensures timely completion of Sanity, Regression automated suites, reports issues, and makes recommendations for solutions.
• Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required.
• Monitors and reviews code check-ins from peers and helps maintain project repository.
• Ability to work independently as well as collaborate within groups on various projects assigned.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Experience and understanding of Wealth domain specifically in private bank(banking) , lending services and related Tech applications.
• Supports and contributes to automated test data generation and sufficiency.
Successful candidate ideally would have following skills and exposure:
• 4-6 years of experience on automation testing across UI, Data analytics and BI reports in the Financial Service industry
• Hands on experience on Selenium BDD Cucumber using Java, Python
• Extensive knowledge on developing and maintaining automation frameworks for Enterprise projects.
• Experience on automating BI reports e.g., Tableau dashboards and views validation.
• Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc.
• Exposure and some experience on AI related solutions, ML which can help automate faster.
• Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured will be added advantage.
• Detailed knowledge data flows in relational database and Bigdata systems
• Experience with SQL/HQL and understanding of ETL/Data Testing.
• Experience using Bitbucket or equivalent code version control tool.
• Experience with CI/CD tools like Jenkins.
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