Design, build, and maintain scalable data pipelines for infra deployment.
Develop datasets and reporting for hardware inventory, site readiness, and capacity.
Partner with stakeholders to define metrics and data standards.
Create scalable data models enabling consistent reporting across sources.
Improve data quality, lineage, observability, and governance.

🎯 Requirements

5+ years of experience building and maintaining production data pipelines and analytical systems.
Strong proficiency in SQL and experience designing scalable data models.
Proficiency in Python or another data engineering language.
Experience with Snowflake, BigQuery, Redshift and orchestration tools like Airflow.
Experience designing reliable ETL/ELT workflows for maintainability and performance.
Experience translating business needs into technical data solutions.

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