Senior Data Engineer

Create and maintain Data Platform pipelines Create Conceptual, Logical, and Physical data models Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem. Collaborate with other data engineers, data scientists, and cross-functional teams. Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS...; Iceberg), data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow).Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team Collaborate with product managers, architects, and other engineers to drive the success of the Core Data Platform Document standards and best practices for pipeline configurations, naming conventions, etc. Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams) Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements Maintain detailed documentation of your work and changes to support data quality and data governance requirements