Data Engineer

Key Qualifications

• Bachelor’s degree (preferably a Master’s) in Statistics, Mathematics, Computer Science, or a related field,
• Strong proficiency in SQL with hands-on experience developing ETL workflows and analytical data models,
• Solid understanding of data warehousing, dimensional modeling, and design principles,
• Experience in data visualization and the ability to design clear, insightful dashboards that effectively communicate business metrics and trends,
• Strong skills in data cleaning, transformation, validation, and enrichment for large datasets,
• Excellent analytical thinking and strong attention to detail, particularly regarding data consistency and accuracy,
• Strong English communication skills, both written and verbal,
• Experience with cloud environments (especially AWS).

Responsibilities

• Design, build, and maintain ETL processes and data pipelines, ensuring smooth, consistent, and high-quality daily data flows,
• Develop and maintain data models, calculated fields, KPIs, and business metrics for accurate and standardized reporting,
• Perform data enrichment, cleaning, validation, and transformation to improve data usability and integrity,
• Monitor daily data refreshes, identify missing or inconsistent records, verify critical business totals, and resolve data quality issues,
• Analyze internal datasets and deliver data-driven insights that support business needs and strategic initiatives,
• Collaborate closely with business units to understand reporting requirements and contribute to data-driven decision-making processes.