Senior Data Engineer

5+ years of experience in Data Engineering Advanced SQL skills with a focus on performance, readability, and maintainability Strong, hands-on experience with dbt (models, macros, tests, documentation, environments) Strong background in data migration, ETL development, and implementing new technologies Proven skills in developing and maintaining scalable ETL processes and cloud-based solutions Experience in building and optimizing Data Lakes and Data Warehousing architectures Hands-on experience in data cataloging and management systems Proficiency in building CI/CD pipelines for data deployment and automated testing Experience working with cross-functional teams and business customers Excellent communication skills, both verbal and written Strong sense of ownership and a proactive approach to owning and solving problems Collaborative mindset, effective in Agile cross-functional environments Self-driven and proactive, able to operate independently within a defined framework English proficiency: Upper-intermediate and above

Design, develop, and maintain end-to-end data pipelines from ingestion to curated data models in Snowflake. Own and support data ingestion processes, including configuring and maintaining automated data connectors. Lead and contribute to the migration of existing ETL workflows to dbt. Develop well-structured, modular dbt models, macros, and tests. Participate in architectural discussions and help shape standards for data modeling, testing, and deployment. Work closely with business stakeholders and analytics users to translate requirements into reliable data models and metrics. Improve data quality, observability, and documentation across the data platform.