We are seeking a remote Senior Data Quality Engineer to work closely with our Data Platform Architect and Data Architect and lead the implementation of data quality on our platform, ensuring data is accurate, complete, and consistent.

The ideal candidate will have advanced experience in software development with Big Data technologies and a solid understanding of distributed computing principles.

Responsibilities

• Design and implement data quality processes and frameworks
• Work with product and engineering teams to ensure data is accurate, complete, and consistent
• Collaborate with architects and technical leads to drive decisions
• Actively participate in code reviews and ensure solutions meet best practice specifications
• Foster a high-performance engineering culture and mentor team members
  
  
  

Requirements

• 3+ years of experience in data quality engineering
• Advanced experience in software development with Big Data technologies
• Knowledge of Java, Python, SQL, Apache Spark, Apache Kafka
• Solid cloud experience with more than one leading Cloud provider (AWS/Azure/GCP)
• Analytical approach to problem-solving
• Strong understanding of compliance awareness such as GDPR and HIPAA
• B2+ English level
  
  
  

Nice to have

• Excellent organizational and communicational skills
  
  
  

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn