In the role of the Automation QA Engineer, the following services are required:
Reviews all system requirements, test scripts, test scenarios to create appropriate testing workflow. Ensures that this set of high level requirements is consistent, complete, correct, and operationally defined.
Reviews software components and collaborates with Development group, Product Owners, System Teams, and Operations to ensure best overall testing strategies, best practices and techniques for automated testing.
Interfaces with the design and implementation teams, so that any problems arising during QA can be resolved in accordance with the fundamental design concepts, and user needs and constraints.
Assist in all testing processes involving the migration and integration of new and legacy technologies.
Follows the testing standards and strategies and uses them correctly.
Interface with the user(s) and sponsor(s) and all other stakeholders to determine their (evolving) needs.
Follows the set standards for the automated testing software, policies, and execution.
Generates products such as automated functional tests, regression tests, load tests, and test scenario around ETL and data conversion.
Responsible for creating automated test case scenarios for Agile Delivery Team to meet Acceptance Criteria
Reviews and understands the design and development of the database architecture including relational data structures, data marts, data dictionaries and logical and physical data models.
Develop and maintain efficient, well documented, test scripts custom to the integration of data and processes from the legacy systems to the new applications and technologies.
Design, develop and implement ETL testing scripts that are consistent with the solutions for data ingestion, cleansing, business rules execution and Data Distribution.
Perform tests and validate data flows and ETL processes according to business requirements.
Ability to create complex SQL joins to test data migration requirements.
Expertise in querying and testing databases such as SQL Server, DB2 and Oracle.
Designing test scripts that validate the determined data conversion strategy from legacy to new platforms.
Involvement in all stages like Requirements gathering, Data mapping, Data extraction, Data loading, Data testing, documentation, performance optimization and maintenance.
Excellent communication, presentation, collaboration, and interpersonal skills.
Demonstrated ability to deliver business and technical value.
Must be very organized, pro active and self directed. Must be able to perform with minimal supervision.
Must have very strong abstract thinking and problem solving skills.
Must have very good verbal and written communication skills.