Senior Data Engineer

Responsibilities

• Maintain Data Pipelines
• Design, build, and optimize robust ETL/ELT workflows using SQL, Python, dbt, and Airflow to ingest and process data from various sources.
• Design and Optimize Data Models
• Create and refine data models, primarily within BigQuery, ensuring they are efficient, scalable, and support our analytical and reporting needs.
• Ensure Data Quality and Usability: Cleanse, transform, and structure data to ensure accuracy, consistency, and a format suitable for analysis and reporting.
• Collaborate: Serve as a technical leader, mentoring junior engineers and promoting best practices in coding, data modeling, and system design. You’ll also work closely with data analysts and business stakeholders to translate business needs into technical requirements.
• Build Reporting Foundations
• Support the creation of summary tables and enhance database models to provide Data Analysts with ready-to-use data for their work.
• Document Everything
• Maintain clear and concise documentation for data systems, pipelines, data flows, and schemas, making it easy for others to understand and utilize our data assets.

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