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We are seeking a talented Senior Data Quality Engineer to join our team and ensure the integrity and reliability of our data systems. In this role, you will play a critical part in designing and implementing data quality strategies that meet business needs while supporting data governance processes. You will work closely with cross-functional teams to build robust data testing frameworks, maintain high-quality standards, and troubleshoot issues to ensure seamless data integration and performance. If you are passionate about data quality and enjoy solving complex challenges, we encourage you to apply.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Responsibilities

• Collaborate with product, engineering, and customer teams to gather requirements and develop a comprehensive data quality strategy
• Lead data governance processes, including data preparation, obfuscation, integration, slicing, and quality control
• Test data pipelines, ETL processes, APIs, and system performance to ensure reliability and accuracy
• Prepare test data sets, conduct data profiling, and perform benchmarking to identify inconsistencies or inefficiencies
• Create and implement strategies to verify the quality of data products and ensure alignment with business standards
• Set up data quality environments and applications in compliance with defined standards, contributing to CI/CD process improvements
• Participate in the design and maintenance of data platforms and build automation frameworks for data quality testing, including resolving potential issues
• Provide support in troubleshooting data-related issues, ensuring timely resolution
• Ensure all data quality processes and tools align with organizational goals and industry best practices
• Collaborate with stakeholders to enhance data platforms and optimize data quality workflows

Requirements

• Bachelor’s degree in Computer Science or a related technical field involving coding, such as physics or mathematics
• At least three years of hands-on experience in Data Management, Data Quality verification, Data Governance, or Data Integration
• Strong understanding of data pipelines, Data Lakes, and ETL testing methodologies
• Proficiency in CI/CD principles and their application in data processing
• Comprehensive knowledge of SQL, including aggregation and window functions
• Experience in scripting with Python or similar programming languages
• Proficiency working with one of the major cloud providers, such as AWS, Azure, or GCP
• Experience in developing test automation frameworks for data quality assurance
• Familiarity with Big Data principles and their application in modern data systems
• Experience in data analysis and requirements validation, including gathering and interpreting business needs
• Experience in maintaining QA environments to ensure smooth testing and deployment processes
• Hands-on experience in Test Planning, Test Case design, and Test Result Reporting in data projects
• Strong analytical skills, with the ability to approach problems methodically and communicate solutions effectively
• English proficiency at B2 level or higher, with excellent verbal and written communication skills

Nice to have

• Familiarity with advanced data visualization tools to enhance reporting and insights
• Experience in working with distributed data systems and frameworks

We offer

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
• Medicina Prepaga (It covers the collaborator and direct family group).
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
• Discounts card.
• English Training (English lessons, twice per week).
• Training Program (Access to multiple customized training plans according to the needs of each role within the company).
• Marriage bonus (The company doubles the allowance established by law that ANSES offers).
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
• External Agreements and Discounts.
• Vacations: 14 calendar days a year

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