Senior Data Engineer - Data Engineering
Plaid👥 10,000+ employees🏢 Software Development
In this high-impact role, you will enable business leaders to make informed decisions by building and managing critical datasets and data pipelines.
Senior Data Engineer
🕒 14 days ago
SQLPythonAirflowDBT
📜 Description
- Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
- Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
- Lead the integration of diverse structured and unstructured data sources into our data ecosystem, ensuring high-quality and reliable ingestion.
- Define roadmap priorities that anticipate internal consumer needs and drive competitive advantage in data and AI capabilities.
- Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions.
🛠️ Requirements
- Expert-level SQL for building performant, scalable queries and transformations on massive datasets.
- Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs.
- Production-level experience for large-scale batch and streaming data processing.
- Hands-on experience with DBT for advanced data modeling and transformations in a modern data stack.
- Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling.
- Experience owning production systems, including on-call rotations and incident response.
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