Lead Data Quality Automation Engineer Gurgaon, India

Technologies

• Python/Java/Any Scripting
• Azure/AWS

Responsibilities

• Define quality standards and metrics for the current project/product
• Collaborate with stakeholders to review, finalize, and agree upon quality metrics
• Establish a list of milestones and checkpoints with measurable criteria to assess quality regularly
• Develop processes for test plan creation and testing cycle phases
• Plan and schedule milestones and tasks such as alpha and beta testing
• Ensure all development tasks adhere to quality criteria through test planning, execution, assurance, and issue tracking
• Focus on automation in addition to manual testing
• Continuously innovate and elevate the standards of quality processes
• Review and ensure coverage of various testing types like unit, functional, performance, stress, and acceptance
• Identify areas to calculate project risk and create strategies to mitigate and control risks
• Communicate risks to all stakeholders and review and escalate current risks
• Advocate for automation in daily tasks and assist others in adopting automation
• Set milestones for yearly improvement projects
• Collaborate with the development team to support quality engineers with necessary tools like automation hooks or debug builds

Requirements

• 8 to 12 years of robust experience in QA/testing or application development
• Proficiency in Database and ETL testing
• Expertise in preparing test plans and conducting peer reviews
• Strong command of essential technologies, including SQL scripting and PL/SQL
• Capability to write complex and automated SQL scripts
• Skills in ETL testing from various server feeds (S3, SQL, HIVE, Data Bricks, Snow Flake) using diverse testing strategies
• Understanding of Hadoop & Big Data concepts and data validation on HIVE tables
• Familiarity with large-scale data processing languages like pyspark is advantageous
• Strong command of a programmatic language (Python/Java preferred)
• Knowledge of API testing
• Proficiency with software development lifecycle (SDLC) methodologies like Agile, QA methodologies, defect management systems, and documentation
• Experience in automation, automation frameworks, and automation delivery is preferred
• Competency in setting quality standards for new testing technologies in the industry
• Skill in identifying and defining areas to calculate overall project risk and creating strategies to mitigate those risks
• Excellent analytical and communication skills required

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.)