Translate marketing analytics and survey data requirements into scalable data models, automated pipelines, and reporting solutions
Design and develop data warehouses, dashboards, and analytical frameworks to support marketing programs and campaign performance measurement
Build and optimize ETL processes integrating structured and unstructured data sources
Solve complex data integration challenges using advanced SQL techniques and data engineering best practices
Collaborate with data engineers, data scientists, and marketers to define data requirements and present insights clearly and effectively
Conceptualize and evaluate large-scale data architectures, balancing performance, scalability, and operational efficiency
Implement and maintain data security and privacy safeguards, ensuring compliance and resolving data quality issues

5–6 years of professional experience working primarily with data (Data Engineer, Data Analyst, Data Scientist, or similar role)
5+ years of hands-on experience with SQL
5+ years of experience developing ETL pipelines
5+ years of experience in data modeling and data warehousing
5+ years of experience with data visualization and dashboard development
Proficiency in at least one programming language (Python strongly preferred)
Experience collaborating cross-functionally with engineers, scientists, and analytics teams
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience)

Data Engineer

Key skills