Data Engineer

4+ years of experience in Data Engineering Strong SQL skills with attention to performance, readability, and maintainability Hands-on experience with dbt (models, macros, tests, documentation) Experience with ETL development and data migration projects Experience in developing and maintaining scalable ETL processes and cloud-based data solutions Understanding of Data Lakes and Data Warehousing architectures Experience working with data cataloging and data management tools Familiarity with CI/CD practices for data deployment and automated testing Proficiency in Python for data engineering and data analytical tasks (Nice to have) Hands-on experience ensuring data quality (Nice to have)

Design, develop, and maintain end-to-end data pipelines from ingestion to curated data models in Snowflake. Support data ingestion processes, including configuring and maintaining automated data connectors. Contribute to the migration of existing ETL workflows to dbt, ensuring logic parity, performance improvements, and better maintainability. Develop well-structured, modular dbt models, macros, and tests following best practices. Participate in architectural discussions and help shape standards for data modeling, testing, and deployment. Collaborate with business stakeholders and analytics users to translate requirements into reliable data models and metrics. Contribute to improving data quality, observability, and documentation across the data platform.