Work closely with architects and accounts to analyze the data / ETL testing requirements and define overall solution and strategy
Perform analysis of existing BI Dashboard reports and end-to-end Testing experience
Work with various accounts and practice team members to identify new opportunities and provide client specific solutions
Conduct account mining, presales activities
Identify partner led solutions, GenAI based solutions and create new offerings for data/ ETL testing
Define test data management solution for the projects
Provide data/ ETL testing advisory by analyzing existing reqs, evn, test data setup, gaps, tools landscape and define overall testing strategy
Educational Qualifications:
Engineering Degree : BE/BCS (Computers/Electronics and Telecommunication)
Technical certifications in multiple technologies are desirable
Skills:
Mandatory Technical skills
Should have end-to-end data-warehousing project experience along with good knowledge of warehousing concepts
Must have strong knowledge of database concepts such as PL/SQL skills and queries, and stored procedures
Should have hands-on experience in ETL languages and large data sets
Must be skilled in validation of data sources, extraction of data, applying transformation logic, and loading data into target tables, and also working closely with data engineering functions to ensure a robust test strategy
Should be able to implement, leverage, and build test data management solutions
Must have experience in creating test cases and test scripts for data lake/warehouse/mart testing, including data completeness testing, boundary testing, data validation based on data models, and using source-to-target mapping documents, validation of transformations, and slowly changing dimensional data
Should have strong experience in test case identification, writing, execution, defect management, test data identification and creation, performance testing, and system testing
Must have skills in automation BI report dashboard testing
Should have knowledge of automation frameworks, and automation of ETL and DB Testing (Python, Spark, Scala)
Should have experience in industry standard ETL testing tools such as QuerySurge, Informatica
Must be able to assess, identify gaps, provide recommendations on automation solutions and QA processes
Should have experience in Agile methodologies
Must have good understanding of quality assurance and manual testing concepts
Should have hands-on experience in BI reporting tools and testing concepts
Must have good communication skills
Should have proficiency in test scenario writing
Must have testing experience in Relational/Hadoop/Cloud /NoSQL databases
Should have good understanding of jobs and scheduling and DevOps process knowledge
Good to have skills:
Strong knowledge of healthcare domain will be an added advantage
API Testing knowledge and experience is preferred
In-depth knowledge of Data Ops will be preferred
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Test ArchitectEmployement Type: Full time