Embark on a transformative journey as a Data Test Lead.
At Barclays, our vision is clear - to redefine the future of banking and help craft innovative solutions. You will be creating and improving the data at the heart of the bank's financial transactions. This role places data quality at the center of everything we do and offers a unique opportunity to influence how data is used across the organization. Be part of this exciting transformation and help shape the future of the bank.
To be successful as a Data Test Lead, you should have experience with:
Working with a wide range of Solution around Fraud Detection, Fraud Servicing & IDV , Application Fraud and Consumption BI patterns
Strong Test Automation skills and create frameworks for regression pack.
Well-versed hands-on experience on creating best test framework.
Person should give technical guidance and drive the Test Automation team. Drive automation in a pro-active mode than reactive. This means the Automation Analyst needs to ensure that automation pack is updated in parallel to the development lifecycle so that the same can be executed at the time of the release made available on test env for test execution.
Actively contribute to DevOps agenda forward from automation point, Jenkins/GitLab pipelines configuration is must.
Help mature the current automation capability by ensuring proper documentation of frameworks, utilities, and tools in the teams' central knowledge base.
Good working experience of EDL and Data testing-based automation for a quick turnaround time.
Platform data modelling, including logical and physical data models
Gathering and documenting business or operational requirements, including identifying gaps in current capabilities
Understanding of data stewardship, data quality, and data lineage
Creating user stories and acceptance criteria, and executing user acceptance testing
Some other highly valued skills may include:
Collaborate with development teams to ensure testability and quality throughout the SDLC
Identify opportunities for test optimization and implement solutions to improve test efficiency
Mentor junior QA engineers on automation best practices and technologies
Clear communication skills to engage with key stakeholders and team members
SQL proficiency to query and extract insights from large datasets
Working knowledge with Oracle , Hadoop , Pyspark , Ab-intio and other ETL
Ability to work with large volumes of data to identify issues and recommend tactical and strategic solutions
Experience with metadata and domain maintenance
Familiarity with JIRA for workflow tracking
Cards and Fraud domain knowledge.
Machine Learning.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based out of Pune.
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