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Senior Data Quality Automation Engineer

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bullets
Data Quality Engineering, SQL, DB/ETL Test Automation, DWH & DB Concepts
bullets
Bangalore, Chennai, Hyderabad, Pune, Gurgaon

We are in search for an experienced Senior Data Quality Automation Engineer to join our team. As a QA Engineer, you will contribute to developing test scripts, enhancing automated testing frameworks, and collaborating closely with development teams.

This position offers an exciting opportunity to innovate and grow.

Responsibilities
  • Defining quality standards and metrics for the current project/product. 
  • Defining Testing Strategies
  • Defining processes for test plan and several phases of testing cycle
  • Understanding and defining areas to calculate the overall risk to the project
  • Challenge yourself continuously to move towards automation for all daily works and help others in the automation.
  • Review test strategies and see that all the various kinds of testing like unit, functional, performance, stress, acceptance etc. are getting covered.
  • Creating strategies to mitigate those risks and take necessary measures to control the risks
  • Work with the development team to ensure that the quality engineers get apt support like automation hooks or debug builds where ever and whenever possible
  • Working with all stakeholders to ensure that the quality metrics is reviewed, closed and agreed upon
  • Communicating or creating awareness to all the stake holders for the various risks
  • Understand & review the current risks 
Requirements
  • 5-8 years of experience in QA/testing or application development
  • Expertise in Database and ETL testing
  • Strong skills of Essential technologies: SQL scripting, PL/SQL
  • Proficiency in writing complex and automated SQL scripts
  • Proficiency with preparing the test plan and ensure that test plans get reviewed by all stakeholders and strong in peer reviews
  • Hadoop & Big Data Concepts and Data validation on HIVE tables skills
  • ETL Testing from various feeds on server (S3, SQL ,HIVE, Data Bricks, Snow Flake) 
  • Strong knowledge of any Programmatic Language (Python /Java preferred)
  • Proficiency in API Testing
  • Experience in automation, automation frameworks and automation delivery preferred
  • Knowledge of software development lifecycle (SDLC) methodologies like Agile, QA methodologies, defect management system, and documentation.
  • Experience with identifying and defining areas to calculate the overall risk to the project and Creating strategies to mitigate those risks and escalate as necessary
  • Ability to set Quality standards in various new testing technologies in the industry
  • B2+ English level