Senior Data Quality Engineer

EPAM Systems; Brasil; Teletrabalho; USD 40.000 - 60.000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a remote Senior Data Quality Engineer to join their Scrum team. The ideal candidate will ensure the integrity and quality of data through comprehensive testing processes and collaborate closely with developers. This role offers exposure to international projects with leading brands and opportunities for upskilling and growth.

Serviços

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer and community involvement opportunities

Award-winning culture

Qualificações

• 3+ years of relevant experience in Data Quality Engineering.
• Strong understanding and hands-on experience with QA processes.
• Ability to prioritize tasks in a high-pressure environment.

Responsabilidades

• Work in a Scrum team, convert stories to test artifacts and ensure data quality.
• Raise awareness about issues and document them collaboratively.
• Assist with other activities like regression and environment setup.

Conhecimentos

Data Quality Engineering

Agile methodologies

API testing

SQL

Analytical skills

Collaboration

Ferramentas

Azure Data Factory

Databricks

Azure Storage

Descrição da oferta de emprego

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Currently, we are looking for a remote Senior Data Quality Engineer to join our team.

Responsibilities

• Work in a Scrum team, convert stories to test artifacts, design and execute test cases to ensure no defective products are moved to production, verify data integrity and data quality
• Working closely with software developers and bringing QA vision on Refinement and Sprint Planning sessions
• Raise timely awareness about any discovered issues, document them, and work collaboratively with members of other related departments to develop remedies
• Communicates application defects in a clear and concise manner
• Bugfix verification and validation
• Assist with other activities (regression, environment setup verification, cooperation with automation engineer, etc)
  
  
  

Requirements

• 3+ years of relevant experience in Data Quality Engineering
• Demonstrated knowledge of Software Development Life Cycle (SDLC)
• Strong understanding and hands-on experience with QA processes and methodologies, with an emphasis on Agile
• Experience with API testing and data validation
• SQL knowledge and skills
• Knowledge of Azure Data Factory, Databricks, Azure Storage - would be a plus
• Experience with QA testing on iOS and Android applications will be a plus
• Ability to learn new software quickly and with ease
• Experience in leading multicultural QA teams
• Ability to think abstractly with an “outside the box” approach to testing
• Attentive to detail, with developed analytical skills, and a scientific approach to problem-solving
• Ability to prioritize and execute tasks in a high-pressure environment
• Ability to focus on deadlines and deliverables
• Experience working in a team-oriented, collaborative environment
  
  
  

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
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Business Development

• Industries

  Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing

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