Etl Testing

Company Description We are an Artificial Intelligence AI focused product engineering company providing our customers in healthcare retail e-commerce manufacturing and hospitality sectors with cutting-edge products solutions harnessing Big Data Analytics Vision Analytics and IoT Ever since our inception in March 2010 Tech Vedika has been Great Place To Work Certified TM May 2022-May 2023 Organization Top 50 I Mid-Size India s Best Workplaces for Women 2022 Top 10 Most Disruptive Face Image Recognition Solution Providers 2020 - Analytics Insights Top 10 Healthcare Analytics Solution Providers 2019- Healthcare Outlook Magazine Top 20 most amazing AWS Service Providers - CIO Review India 2018 We strive for simple elegant tech solutions to perform complex tasks As a scalable technology partner we enable organizations to improve operational efficiency and unleash new business potential Position Summary The QA Tester will play a critical role in ensuring the accuracy integrity and reliability of data products and data marts built by the engineering team within Azure SQL and Azure Databricks environments This individual will be responsible for validating new features identifying defects and ensuring system stability through rigorous testing practices including regression functional integration and data validation testing The ideal candidate brings a strong understanding of QA methodologies and a working knowledge of SQL and modern data platforms particularly within the Azure ecosystem This position requires close collaboration with data engineers business analysts and product stakeholders Key Responsibilities Test Planning and Execution Review technical specifications and data model designs to develop comprehensive test plans and test cases Execute functional regression and integration testing for new data products transformation logic and platform enhancements Validate SQL-based transformations and logic implemented in Azure SQL and Databricks Data Validation Write SQL queries to validate data transformations joins filters aggregations and calculations across staging transformation and reporting layers Compare results between source systems and final data products for accuracy and completeness Ensure data reconciliation and integrity across pipelines and versions Issue Tracking and Communication Log document and track bugs or data anomalies Collaborate with data engineers and developers to troubleshoot and verify resolution of issues Proactively raise risks and blockers during test cycles to ensure timely delivery Regression Automation Support Maintain regression test cases as data products evolve Identify repetitive test cases suitable for automation and assist in building out test scripts as needed Ensure previous features and deliverables continue to work after new releases Documentation Collaboration Document test plans cases and results clearly for audit and traceability Participate in Agile Scrum ceremonies and provide QA status updates Collaborate with cross-functional teams to ensure product quality at each development stage Required Skills and Experience Strong SQL skills with the ability to write complex queries for data validation and reconciliation Understanding of relational database design ETL processes and data modeling concepts Experience testing data products or platforms built on Azure SQL and or Databricks Familiarity with testing concepts such as QA UAT regression exploratory and post-production deployment testing Ability to work with datasets of varying complexity volume and sensitivity High attention to detail and ability to detect inconsistencies or inaccuracies in data Strong written and verbal communication skills for documenting and explaining findings Preferred Qualifications Prior experience in data platform testing preferably in financial services or enterprise environments Familiarity with Azure Data Factory or other Azure-native data tools Knowledge of scripting for automation or test frameworks Experience with Agile methodologies and tools Education Experience Bachelor s degree in Information Systems Computer Science Data Analytics or a related field 4 years of experience in a QA role focused on data platforms or data-centric applications Qualifications Preferred Qualifications Prior experience in data platform testing preferably in financial services or enterprise environments Familiarity with Azure Data Factory or other Azure-native data tools Knowledge of scripting for automation or test frameworks Experience with Agile methodologies and tools Education Experience Bachelor s degree in Information Systems Computer Science Data Analytics or a related field Total Exp- 4 and 2 years of experience in a QA role focused on data platforms or data-centric applications Additional Information At Tech Vedika we are looking for talented individuals who want to work with driven people Attain success while working on interesting projects with a culturally diverse group of individuals Perks Benefits Health Insurance Meal Vouchers Learning Aids Client Customer Interactions Working with great minds If you want an exciting and dynamic career with unlimited growth potential then Tech Vedika is the place for you