Data Test Architect

3 weeks ago


delhi, India LTIMindtree Full time
Data Test Architect – Data Analytics
Experience: 16 -20 Yrs
Location: Across any metro-cities within India
14+yrs. experience in ETL/DW testing, Cloud migration testing, BI Testing , Data Analytics Testing, Data Automation testing
Extensive experience in defining Test Strategy / estimations for data analytics solutions to ensure the quality of data pipelines, analytics models, and visualizations
Good Experience in design, implementation & maintenance of test frameworks and automation scripts for data validation and testing within the data analytics ecosystem.
Strong programming and scripting skills for test automation using Python / R , PySpark & advance SQL.
Good experience at least 2 of the reporting tools like Tableau, Power BI, QlikView, Cognos
Good experience & understanding in Modelling techniques - Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Cognitive Analytics is required.
Expertise in defining validation approach for data pipelines, ETL processes to ensure data accuracy, consistency, integrity. Perform data quality checks and anomaly detection to identify
rectify data issues.
Experience working / excellent knowledge in data automation tools like QuerySurge/DataGaps/ any other frameworks is desirable.
Experience in working on data programs on any cloud like Azure / AWS / GCP is required.
Experience working / excellent knowledge in data automation tools like QuerySurge/DataGaps/ any other frameworks is desirable.
Experience in Stakeholder management , Customer interactions, status reporting is required.
Good written and spoken communication skills
Good Experience in Collaborating with data engineers, data scientists, and other stakeholders to understand data requirements and use cases.
Any experience/knowledge in defining NFR tests for Data Analytics platforms to ensure optimal performance and resource utilization, Identify and address bottlenecks and performance-related issues will be advantage.
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