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Responsibilities:
- Collaborate with various teams like Data Engineers and DSs.
- Build scalable, modular data engineering infrastructure.
- Develop data products supporting multiple business areas.
- Work on data modeling and infrastructure with senior staff.
Requirements:
- Experience with scalable data architectures and systems.
- Proficient with GCP, BigQuery, Looker Studio, and NoSQL.
- Hands-on with ETL pipelines and workflow tools like Airflow.
- Strong expertise in Python, SQL, and API integration.
- Knowledge of data privacy laws like GDPR and CCPA.
- Experience with CI/CD pipelines and automation tools.
Benefits:
- Remote work opportunity.
- Work on cutting-edge data infrastructure and modeling.
- Collaborative environment with a global team.
