Description

You ensure data integrity and accuracy through rigorous validation, analysis, and troubleshooting.

This role is on-site.

Responsibilities

• Detect and resolve data inconsistencies using methodical quality control processes.
• Execute complex data querying and validation tasks to maintain high data standards.
• Apply data governance principles to support effective data management.
• Perform deep-dive analytical troubleshooting to address data quality issues.

Required Skills

• 2+ years of experience in data quality control or data validation.
• Strong proficiency in SQL, specifically for querying in BigQuery.
• Proficiency in Python for data manipulation.
• Experience using Pandas and NumPy for data analysis.
• Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related field.
• Strong analytical and problem-solving capabilities.
• High attention to detail in handling large datasets.

Preferred Skills

• Experience with web scraping methodologies and handling large-scale scraped datasets.
• Familiarity with ETL pipelines, data transformation, and automation tools.
• Knowledge of cloud platforms including AWS, Google Cloud, or Azure.

Key Skills

Education

Any Graduate