Senior Data Processing Specialist  

1. Data Pipeline Management and Optimization

• Design, implement, and manage scalable data pipelines to ensure clean, structured, and accessible data for analytics.
• Develop efficient ETL (Extract, Transform, Load) processes to handle large-scale e-commerce data.
• Monitor and improve pipeline performance, troubleshooting issues to maintain data integrity.

2. Data Quality Assurance

• Collaborate with the Data Quality & Product Assurance team to review and verify data accuracy before analysis and dashboard delivery.

• Conduct periodic data monitoring to identify errors and ensure data consistency and validation.

3. Data Processing and Transformation

• Process and transform data to meet analytical needs, including data merging from multiple sources for enhanced reporting and insights.
• Provide accessible, relevant data to support market insights dashboards and other business intelligence reports.
• Automate data processing tasks to improve efficiency where applicable.

4. ​​​​​​​Cross-functional Collaboration

• Partner with BI Engineers to ensure data is prepared in a way that meets analytics and visualization requirements.
• Support data analysts by providing data that meets required standards for ongoing projects.​​​​​​​

• Bachelor’s degree with min. 4 years of proven experience in data processing and management, with a strong background in the e-commerce or FMCG industries preferred.
• Proficiency in data processing tools and technologies such as SQL (BigQuery), Python, and ETL tools.
• Experience with data processing and data warehousing tools like Apache Airflow, DBT, or similar platforms.
• Deep understanding of data cleaning techniques, outlier detection, data standardization, and segmentation.
• Strong analytical skills and attention to detail, with a focus on troubleshooting complex data issues and to address anomalies or inconsistencies within large datasets.
• Effective communication skills to clearly convey data findings and issues.
• Strong cross-functional collaboration skills, particularly with data analysts, data quality teams, and BI engineers.