
Building High-Performance Data Infrastructure
5 days ago
We're seeking a skilled Data Engineer to join our team. As a key member of the organization, you'll play a crucial role in designing, building, and maintaining efficient data pipelines.
You'll collaborate with cross-functional teams to ensure clean, reliable, and accessible data for analytics, reporting, and product innovation.
Key Responsibilities- Data Pipelines: Develop and maintain ETL/ELT pipelines to move data from multiple sources into data stores/warehouses.
- Cross-Functional Collaboration: Work with teams to define data requirements, models, and metrics.
- Data Storage Solutions: Manage and optimize Postgres, BigQuery, Redshift, or cost-effective alternatives.
- Data Quality and Governance: Ensure validation and governance across all pipelines.
- Automation and Monitoring: Implement automation, monitoring, and alerting for data workflows.
- Business Intelligence: Support dashboards, analytics use cases, and API integrations.
To succeed in this role, you'll need:
- 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.
As a member of our team, you can expect:
- A dynamic and supportive work environment.
- Ongoing training and professional development opportunities.
- The chance to work on challenging projects and make a meaningful impact.
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