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Senior Data Quality Automation Engineer
Data Quality Engineering, SQL, DB/ETL Test Automation, DWH & DB Concepts
Bangalore, Chennai, Hyderabad, Pune, Gurgaon
We are seeking a Senior Data Quality Automation Engineer to join our team. In this role, 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
- Communicating or creating awareness to all the stake holders for the various risks Understand & review the current risks and escalate
- Working with all stakeholders to ensure that the quality metrics is reviewed, closed and agreed upon
- 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
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
- ETL Testing from various feeds on server (S3, SQL ,HIVE, Data Bricks, Snow Flake) using different testing strategy to ensure the data quality and data consistency, timeliness
- 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
- Strong command 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
- Excellent English communication skills, both written and verbal
Nice to have
- Knowledge on large-scale data processing languages like Pyspark