Sr Data Quality Engineer USEReady

About USEReady

Job Description

As a Data Quality Engineer, you will collaborate with product, engineering, and customer teams to gather requirements and develop a comprehensive data quality strategy. You will lead data governance processes, including data preparation, obfuscation, integration, slicing, and quality control. Testing data pipelines, ETL processes, APIs, and system performance to ensure reliability and accuracy will be a key responsibility. Additionally, you will prepare test data sets, conduct data profiling, and perform benchmarking to identify inconsistencies or inefficiencies. Creating and implementing strategies to verify the quality of data products and ensuring alignment with business standards will be crucial. You will set up data quality environments and applications in compliance with defined standards, contributing to CI/CD process improvements. Participation in the design and maintenance of data platforms, as well as building automation frameworks for data quality testing and resolving potential issues, will be part of your role. Providing support in troubleshooting data-related issues to ensure timely resolution is also expected. It is essential to ensure that all data quality processes and tools align with organizational goals and industry best practices. Collaboration with stakeholders to enhance data platforms and optimize data quality workflows will be necessary to drive success in this role. Requirements: - Bachelors 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 - Databricks and Snowflake experience is a must, with good exposure to notebook, SQL editor, etc. - 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 like Hadoop,