About the Role
The role involves building and optimizing data transformation processes and analytics platforms to support data-driven decision-making across teams.
Responsibilities
- Develop and manage data transformation workflows using dbt
- Design and maintain data models for analytics use cases
- Collaborate with analysts and engineers to ensure data reliability
- Implement ETL pipelines for structured and semi-structured data
- Optimize SQL queries and data processing performance
- Support business intelligence reporting through Looker
- Ensure data quality and consistency across systems
- Document data models, pipelines, and transformation logic
- Monitor data pipeline health and resolve issues promptly
- Integrate data from multiple source systems
- Apply software engineering best practices to data projects
- Contribute to version-controlled data development workflows
- Participate in code reviews and technical design discussions
- Maintain metadata and data lineage tracking
- Support testing and validation of data outputs
- Work with cloud data platforms such as BigQuery or Snowflake
- Automate routine data operations and monitoring tasks
- Align data models with evolving business requirements
- Improve data accessibility for non-technical stakeholders
- Stay current with data engineering tools and methodologies
Nice to Have
- Experience with Google Cloud Platform
- Contributions to open-source data projects
- Background in agile development environments
- Exposure to data observability tools
- Certifications in cloud or data engineering
- Prior work in fast-paced startup environments
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid working model with flexible hours
Team
Collaborative data team focused on scalable analytics solutions
Our Tech Stack
We use dbt for data transformation, Looker for visualization, and operate primarily on Google Cloud Platform with BigQuery as our data warehouse.
Culture & Values
We value transparency, continuous learning, and collaborative problem-solving in delivering high-impact data solutions.
Available for qualified candidates
