Responsibilities
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Design & Build:
Business Process data warehousing solutions that handle complex data requirements for clients.
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Optimize & Scale:
Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems for clients.
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Empower & Enable:
Partner with product, engineering and go-to-market client teams to deliver data solutions that drive strategic insights.
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Rapid Response:
Quickly address time-sensitive data needs and ad-hoc requests from clients, turning around critical analyses and data solutions with urgency while maintaining accuracy.
Requirements
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Expertise:
7+ years of data engineering experience
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Data Architecture:
Deep knowledge of data modeling, warehouse design, and ETL best practices.
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Technical Mastery:
Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
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Systems Thinking:
Experience with distributed systems, data streaming(Kafka/Kinesis), and optimization of large-scale data workflows.