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Data Test Architect

4 months ago

Bengaluru, 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.