
Data Infrastructure Specialist
1 week ago
The ideal candidate will design and implement a scalable data infrastructure, integrating multiple data sources including customer relationship management systems, APIs, and web tracking. They will develop and manage complex pipelines using Airbyte to ingest and normalize data into storage layers such as PostgreSQL, Amazon S3, and ClickHouse.
- Develop robust backend components and RESTful APIs using FastAPI to serve audience data for analytics and campaign systems.
- Integrate and optimize Elasticsearch for indexing, search, and personalized audience filtering.
- Apply data transformations, deduplication, and schema management using Python and SQL to ensure high-quality data.
The selected individual will work closely with cross-functional teams to define data requirements and delivery mechanisms. Additionally, they will lead and mentor a team of data engineers and ensure project milestones are met.
Key Responsibilities
- Design and implement efficient data pipelines using Airbyte.
- Develop and maintain robust backend components using FastAPI.
- Optimize Elasticsearch for high-performance search and filtering.
Requirements
- Experience with data engineering and pipeline development.
- Proficiency in Python and SQL.
- Knowledge of Elasticsearch and its applications.
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