About this role
A Data Engineer at Ruby Labs is responsible for building and maintaining a reliable data platform by developing ETL/ELT data pipelines, implementing monitoring and alerting systems, and establishing data quality checks. This role requires close collaboration with stakeholders to ensure that data structures and documentation align with business needs while using technologies such as Python, SQL, Airflow, DBT, BigQuery, and ClickHouse. Additionally, the engineer will enhance the data stack's observability, reliability, and scalability to support data-driven decision-making across the organization.
Required Skills
- Data Engineering
- ETL/ELT Pipelines
- Monitoring Systems
- Data Quality Checks
- Documentation
- Collaboration
- Python
- SQL
- Airflow
- DBT
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Qualifications
- Proficiency in Python for data pipeline development
- Strong SQL skills and experience working with cloud data warehouses (ClickHouse, BigQuery preferred)
- Hands-on experience with DBT (modelling, testing, documentation, and deployment)
- Experience with workflow orchestration tools such as Airflow
- Familiarity with data quality frameworks (e.g. Great Expectations, DBT tests) and anomaly detection methods
- Experience building monitoring and alerting systems for data pipelines and data quality
- Ability to write clear, maintainable, and actionable technical documentation
About Ruby Labs
rubylabs.comRuby Labs is a forward-thinking company that specializes in developing innovative consumer products aimed at transforming sectors such as health, education, and entertainment. With a commitment to enhancing lives, Ruby Labs leverages cutting-edge technology to create solutions that are not only functional but also impactful. The company focuses on crafting products that push the boundaries of traditional markets, creating value for consumers and making a positive difference in their everyday lives.