
Building Scalable Data Systems
1 week ago
We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining efficient data pipelines.
Our ideal candidate has 3–5 years of experience in data engineering / backend development, proficiency in SQL and Python, and hands-on experience with ETL frameworks.
You will collaborate closely with cross-functional teams to ensure data is clean, reliable, and accessible for analytics, reporting, and product innovation.
Requirements- Build and maintain data pipelines (ETL/ELT) to move data from multiple sources into data stores/warehouses.
- Collaborate with cross-functional teams to define data requirements, models, and metrics.
- Manage and optimize data storage solutions (Postgres, BigQuery, Redshift, or cost-effective alternatives).
- Ensure data quality, validation, and governance across all pipelines.
- Implement automation, monitoring, and alerting for data workflows.
- Support business intelligence, dashboards, and analytics use cases.
- Work on API integrations and structured/unstructured data ingestion.
- Opportunity to own and grow the data function at our company.
- A chance to work on impactful projects that directly influence product and business strategy.
- Collaborative culture with designers, engineers, and product thinkers.
- Flexibility, autonomy, and career growth in a fast-moving, bootstrapped setup.
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