
Build Scalable Data Systems
7 days ago
We're seeking a skilled Data Engineer to join our team of innovators.
The ideal candidate will have hands-on experience with designing and building efficient data pipelines, collaborating closely with cross-functional teams to ensure data is clean, reliable, and accessible for analytics, reporting, and product innovation.
Key Responsibilities:- Create scalable data pipelines (ETL/ELT) to move data from multiple sources into data stores/warehouses.
- Collaborate with engineers, product managers, and business stakeholders to define data requirements, models, and metrics.
- Manage and optimize data storage solutions (Postgres, BigQuery, Redshift, or cost-effective alternatives).
- Guarantee data quality, validation, and governance across all pipelines.
- Implement automation, monitoring, and alerting for data workflows.
- Support business intelligence, dashboards, and analytics use cases.
- Develop API integrations and structured/unstructured data ingestion.
- 3–5 years of experience in data engineering / backend development.
- Proficiency in SQL and Python programming languages.
- Familiarity with ETL frameworks (Airbyte, Airflow, dbt, Luigi, or similar).
- A good understanding of data warehousing concepts, schema design, and optimization.
- Experience working with cloud platforms (AWS/GCP/Azure) or open-source alternatives.
- The ability to work independently, prioritize tasks, and deliver in a lean setup.
- A strong problem-solving mindset and passion for building scalable systems.
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