Found Description
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning use cases.
- Develop and optimize large-scale data models, schemas, and data warehouse architectures for performance and cost efficiency.
- Partner with Data Scientists, Product Managers, and Software Engineers to understand data requirements and deliver robust data solutions.
- Implement data quality frameworks including monitoring, validation, alerting, and anomaly detection to ensure data integrity and reliability.
- Evaluate and adopt best practices for data governance, privacy compliance, and data lifecycle management.
Minimum Qualifications
- 5+ years of hands-on experience in data engineering, data platform development, or a related technical role.
- Expert proficiency in SQL and experience working with large-scale data war...