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EAD (OPT/CPT/GC/H4)
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Corp-Corp
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 23rd Sep 2021
· The QE / Database / Datawarehouse /BI /ETL Test Engineer will be responsible for participating in all test activities.
· In this role you will be responsible to develop test automation strategies and take lead role in Database Testing, BI/DW/ETL Testing.
· Exceptionally Strong SQL skills is must have for this position.
· Build and perform End to End QA effort on Data Warehouse/ETL/BI Platforms
· Review requirements, specifications and technical design documents to provide timely and meaningful feedback
· Understand data flow and test strategy for ETL , Data warehouse and Business Intelligence testing
· ETL testing of mapping, transformations and data pipelines.
· Data warehouse testing involving the testing of stored procedures, SSIS packages, slowly changing dimension tables, Change Data capture etc.
· Business Intelligence testing involving the validation of DataMart, ODS, Data models and SSRS reports.
· Create detailed, comprehensive and well-structured test plans and test cases
· Identify, document and track software defects
· Work closely with development teams to perform root cause analysis of issues
· Manage multiple tasks and adjust to shifting priorities, as necessary
· Write advanced SQL queries for ETL/data warehousing/Business Intelligence testing
· Identify test cases which has to be automated. Prepare test automation strategy.
· Design and develop test automation for backend.
· Work with the team to continually improve test processes and practices based on inspection/adaption of previous iterations and to ensure adherence to process, tools and metrics standards within the project team
· Show initiatives and accountability with strong time management skills with project teams.
· Exhibit strong collaboration/interpersonal skills
· Be a self-starter and possess the ability to research issues and improve processes
· Experience in ETL testing techniques
· Good understanding of Data Warehousing and business intelligence concepts and testing techniques
· Experience in Working with Star Schema, ODS, multi-dimensional models, slowly changing dimensions
· Experience in working with ETL framework, Change Data capture, DataMart, Data models etc.
· Working knowledge of test automation for backend using Java and associated frameworks
· Experience in continuous testing practices in a CI/CD development pipeline, and deploying test automation
· Solid experience in strategizing and planning all testing activities including automation.
· Ability to review and analyze business requirements in order to produce test strategy and test cases.
· Expertise working in Cloud data environment
· Familiarity with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
· Experience in Agile projects (Scrum, Kanban etc.).
· Working Knowledge in Test Management software (JIRA,qTest/ALM).
· Solid experience with Defect Management Process.
· Quick learner and self-starter who requires minimal supervision to excel in a dynamic environment.
· Excellent analytical and problem solving skills.
· Strong verbal and written communications skills.
· Experience in Banking or Financial services domain is preferred.
· Experience in working with financial platforms
· Experience in Cluster, Containers/VMs, On Premise, On Cloud is preferred
· Strong knowledge on Data Lake, Azure, ELT & ETL, Data Warehouse, BI, Data Factory Tools
· Strong in SQL preparation in Oracle/SQL Server/NoSQL/RDMS/Big Data
· Bachelor's degree in Computer Science or related field.
· 5+ years of experience with Software Quality Assurance- QA project life cycle, test plan, test strategies, test scenarios, test cases, traceability matrix.
· 3 + years of experience in Database/Data Warehouse/ETL Testing.
· 3 + years of Strong experience in advanced SQL scripting.
· Experience in MS SQL server, SSIS and SSRS.
· 3+ years' experience of Data Lake/Hadoop platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
· Awareness of Agile QA Software development life cycle –backlog, sprints, standups, burndowns.