Qa Engineer (data & Analytics) Job in Alphasense

What You ll Do: Design and implement data quality frameworks, processes, and methodologies to ensure accurate and reliable data across the organization. Develop and execute data validation and quality assurance procedures, including data profiling, data completeness and consistency, data accuracy, continuous monitoring, etc. Collaborate with data owners, stakeholders, engineers, and analysts to understand data requirements and define data quality standards. Conduct data audits and analyses to identify data quality issues, anomalies, and inconsistencies. Implement automated data quality checks and monitoring/alerting solutions to proactively identify and address data issues. Work closely with development teams to integrate data quality controls into data pipelines and ETL/ELT processes. Provide recommendations and solutions for data quality improvements and best practices. Document data quality processes, procedures, and guidelines. Stay up-to-date with industry trends, tools, and techniques related to data quality assurance. Qualifications: Bachelor s Degree in Computer Science, Information Systems, or a related field (or equivalent experience) 5+ years of experience as a Data QA Engineer, Data Quality Engineer, or similar role Strong understanding of data quality and QA concepts, methodologies, and best practices 3-5 years of experience in Database/Data Warehouse/ETL Testing 3-5 years of Strong experience in advanced SQL scripting 3+ years of practical experience in Python programming languages, demonstrating proficiency with libraries such as Pandas, NumPy, PyTest, or similar 3+ years of experience of Data Lake/Data Warehouse platform implementation Familiarity with data quality tools and frameworks such as Collibra, Monte Carlo Strong attention to detail and a commitment to data accuracy Excellent communication and collaboration skills to work effectively in a cross functional team environment Preferred Qualifications: Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Snowflake) Knowledge of data privacy and security regulations (e.g., GDPR, CCPA) Knowledge of data contracts Knowledge of data governance principles and practices