Qualifications:
● Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related field.
● Minimum 2+ years of experience in data quality control, data validation, or a similar role.
● Strong proficiency in SQL for data querying and validation especially in BigQuery.
● Proficiency in Python, with experience using data analysis libraries such as Pandas and
NumPy.
● Familiarity with web scraping methodologies and tools is a plus.
● Understanding of data governance principles and best practices for data management.
● Strong analytical and problem-solving skills, with the ability to detect and resolve data
inconsistencies.
● Attention to detail and a methodical approach to data quality control.
Nice to Have:
● Experience working with data scraping projects and handling large-scale scraped
datasets.
● Familiarity with ETL pipelines and data transformation processes.
● Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
● Experience with automation tools for data validation and quality checks.