We are seeking a skilled 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. Dont miss out on this exciting opportunity - apply now and be part of a team!
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 and escalate
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
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
Hadoop Big Data Concepts and Data validation on HIVE tables skills
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
Excellent English communication skills, both written and verbal (B2+ level)
Nice to have
Skills with large-scale data processing languages like Pyspark
We offer
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
Health benefits
Retirement benefits
Paid time off
Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)