Data Engineer

• Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP.
• Engage in efforts to advance code quality, test coverage, and maintainability of data pipelines.
• Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation.
• Support the adoption of data quality tools and practices (e.g., data lineage, automated alerting).
• Research, evaluate, and recommend new technologies and tools to improve the data platform.
• Contribute to the data architecture and design of the data warehouse.
• Collaborate with software engineering teams to define data structures, streamline ingestion processes, and ensure data consistency.
• Work closely with stakeholders (data scientists, analysts, business users) to understand data needs and translate them into technical requirements.
• Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability.
• Contribute to the development and maintenance of CI/CD pipelines for data infrastructure.
• Participate in on-call rotation to support critical data pipelines.
• Identify and address inefficiencies in data engineering processes.

Data Engineer

Senior Data Engineer – Data Platform

Data Engineer

Senior Software Engineer – Data Engineering

Data Architect

Senior Data Engineer