Salary
💰 $150,000 - $165,000 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
- Develop, optimize, and maintain transformation workflows in DBT Cloud for our Snowflake data warehouse
- Expand and refactor the transformation codebase to improve efficiency, scalability, and data quality
- Ensure data consistency, reliability, and continuity across all data marts and datasets
- Design and implement new data marts to simplify analytics and support business needs
- Collaborate with business users to build and maintain impactful Sigma dashboards and reports
- Implement tests to ensure data quality and proactively catch anomalies
- Perform advanced analytics and ad-hoc data investigations to support decision making
- Document data models, transformation logic, and analytics solutions for transparency and maintainability
- Monitor data pipeline performance and troubleshoot issues as they arise
Requirements
- Previous as an Analytics Engineer, Data Engineer, Data Analyst, or similar role
- Knowledge of best practices in data orchestration & transformation pipelines
- High proficiency in SQL and data modeling best practices
- Experience building or maintaining BI dashboards
- Ability to translate business requirements into scalable data solutions
- Strong analytical skills and attention to detail
- Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Nice-to-Have
- Strong hands-on experience with DBT Cloud and Snowflake in a production environment
- Experience with Sigma BI specifically
- Experience with version control (Git), workflow orchestration, and CI/CD processes
- Familiarity with Python for data analysis and automation
- Exposure to cloud environments (AWS, GCP, Azure)
- Experience with data governance, testing, and monitoring frameworks