Data QA Engineer

Role Overview

• Validate data accuracy, completeness, and consistency across multiple systems.
• Perform data quality testing for ETL/ELT pipelines and reporting solutions.
• Write complex SQL queries for data validation and reconciliation.
• Analyze and troubleshoot data discrepancies between source and target systems.
• Review and debug Python-based data pipeline code.
• Collaborate with engineers and stakeholders to maintain data integrity.

Requirements

• Strong SQL expertise and solid understanding of data engineering concepts.
• Experience validating data pipelines and supporting data quality initiatives.
• Database Engineering & SQL skills.
• Proficient in Python for data pipeline code.
• Experience using AI tools to enhance testing and productivity.
• Strong analytical thinking and problem-solving abilities.
• Attention to detail and ability to work independently with minimal supervision.
• Strong communication and collaboration skills.

Tech Stack

• ETL
• Python
• SQL

Benefits

• Competitive Compensation: Your salary is based on your qualifications, experience, and performance.
• Exceptional Stability: Enjoy job security and ample opportunities for career progression.
• Professional Development: Access educational programs and certifications to expand your expertise.
• Health & Wellness: Comprehensive support for fitness.
• Flexible Working Environment: Benefit from a fully remote work setup, flexible schedules, and relocation assistance if needed.
• Performance Recognition: Regular bonuses, annual salary reviews, and recognition for your achievements.
• Advanced Equipment Options: Choose the workstation setup that fits your needs, whether a desktop or a laptop.
• Team Building & Community: Participate in regular events that foster collaboration, camaraderie, and innovation.