Develop and maintain data models and structures for efficient query and analysis.
Design, develop, and maintain data pipelines to transform data from multiple sources.
Implement automated data quality checks across the data lifecycle.

🎯 Requirements

Robust and scalable data models from business requirements.
Collaborate to collect, prepare, and analyze complex data.
Engage teams to elicit requirements and present solutions to stakeholders.
Knowledge of data pipeline tools (Airflow, EMR, Kafka).
Collaborate with teams to understand data needs and build pipelines.
Understand big data concepts to ingest and make data available.

🎁 Benefits

Flexible benefits with hybrid/remote options
Gold+ membership and wellness resources
WELLZ emotional wellbeing program with therapy
Healthcare, dental, and life insurance
Paid time off and parental leave

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