
Building Scalable Systems
4 days ago
We are seeking an experienced Data Engineer to join our team. As a key member of our data engineering function, you will be responsible for designing, building, and maintaining efficient data pipelines.
- Design, develop, and implement 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.
- 3–5 years of experience in data engineering / backend development.
- Proficiency in SQL and Python (or equivalent programming language).
- Hands-on experience with ETL frameworks (Airbyte, Airflow, dbt, Luigi, or similar).
- Good understanding of data warehousing concepts, schema design, and optimization.
- Exposure to cloud platforms (AWS/GCP/Azure) or open-source alternatives.
- Ability to work independently, prioritize tasks, and deliver in a lean setup.
- Strong problem-solving mindset and a passion for building scalable systems.
- Opportunity to own and grow the data function.
- 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 setup.
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