Analytics Engineer

Overview

Our client is looking for an experienced Analytics Engineer.

• Transform raw data into reliable data sets
• Build and maintain data models and pipelines, often using tools like Snowflake and dbt.
• Collaborate with business stakeholders to understand requirements and deliver well-defined, tested, and documented data sets that enable self-service analytics, fostering trust and consistency across the organization.
• Design, develop, and maintain data models and pipelines (often using SQL and tools like dbt) to transform raw data into meaningful, structured information.
• Implement automated testing frameworks to ensure data accuracy, consistency, and reliability.
• Create comprehensive documentation for data models, pipelines, and processes to support self-service and ensure understanding across the organization.
• Work with data analysts, data scientists, and business stakeholders to gather requirements and align data efforts with strategic business initiatives.
• Build and maintain the data platform, including data pipelines, to ensure scalability and efficiency.
• Standardize and enforce data management best practices, including version control, code reviews, and automated processes.

• Proficiency in SQL, data modeling, data pipeline orchestration, and data warehousing.
• Deep understanding of business requirements and use cases to ensure data meets business needs.
• Ability to effectively communicate technical concepts and data insights to both technical and non-technical audiences.
• Familiarity with software development best practices like CI/CD, version control, and testing.
• Expertise in tools like Tableau or Power BI for creating reports and dashboards that present data findings clearly.

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