About
Key responsibilities
Build and scale the core data infrastructure, pipelines, and services that power the company's products
Design and implement a robust data warehouse to support various analytics and operational use cases
Develop and maintain efficient data pipelines and curated data sets by collaborating with stakeholders to translate requirements into technical solutions
Required qualifications
4+ years of experience as a Data Engineer
Proven track record of writing high-quality, production-ready Python and delivering scalable data projects
Expertise in SQL-based data modeling and transformation frameworks, with a focus on schema management and data governance
Strong experience with modern ingestion tools and database replication methods
Hands‑on experience building robust, fault‑tolerant pipelines using Apache Airflow
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Languages
- English
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