Job Openings
Position: Quality Assurance Automation Engineer
Role and Responsibilities:
Handle testing for any Banking Systems related fixes and Change Requests (CRs).
Prepare CRs and project test cases.
Perform Traceability Matrix between requirements and test cases to ensure coverage.
Conduct manual testing, including Sanity Test, System Testing, and User Acceptance Testing (UAT).
Identify negative test cases and failure points.
Report testing status and defects according to severity and area of failure.
Review business test cases.
Manage testing activities, including business testing.
Identify and obtain test data required to perform test cases.
Perform any task or duty assigned by superiors within the quality department.
Possess knowledge of core functionalities and satellite systems.
Ability to automate test suite for mobile and web across projects.
Qualifications & Competencies:
Bachelor’s degree in Information Technology, Computer Science, or any related field.
2+ years of experience in manual and automation testing domains.
Position: Data Engineer
Role and Responsibilities:
Technical Data Development:
Collect, blend, and transform data using ETL tools such as Informatica Data Integration, data warehousing systems like IBM Netezza, and code development with SQL and Python.
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Create data products for analytics and data science team members.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering.
Partner with BI analysts and solutions architects to develop technical architectures for strategic bank projects and initiatives.
Implement data models and structure data in ready-for-BI consumption formats.
Perform aggregations on data across various warehousing models for BI purposes.
Business Collaboration:
Improve data availability by acting as a liaison between business and source systems.
Solve complex data problems to deliver insights that help achieve business goals.
Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices.
Qualifications & Competencies:
3+ years or more of work experience in data management disciplines, including data integration, modeling, optimization, and data quality.
At least one year of experience working in cross-functional teams and collaborating with business stakeholders in support of data management and analytics initiatives.
