Senior Data Engineer

Proven experience writing production-grade code in Python, particularly for data ingestion, transformation, and pipeline orchestration. Strong command of SQL for working with large databases, building complex queries, and optimizing for performance in analytical environments. Hands-on experience using DBT to build, test, and maintain data models that support analytics and business decision-making. Experience with relational databases such as PostgreSQL and MySQL, and a solid understanding of data modeling techniques. Experience designing and maintaining ETL/ELT pipelines for large-scale data processing, including querying APIs for data ingestion. Ability to evaluate tradeoffs and design data solutions that are scalable, maintainable, and aligned with business priorities.

Design and implement robust batch and real-time pipelines using Python and SQL across multi-cloud environments. Develop and optimize modular, testable DBT models to transform raw event and operational data into business-ready datasets that power reporting and analysis. Gather requirements from stakeholders and shape them into well-structured datasets and data products that reflect business logic in a multi-cloud environment. Tackle ambiguous data problems with a strong architectural mindset, evaluating tradeoffs and crafting scalable, maintainable solutions. Align closely with other Platform.sh engineers to ensure consistency in tooling, patterns, and governance across our broader platform.