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Design, develop, and maintain scalable data pipelines using Python, Snowflake, AWS Glue, and Airflow. Build and optimize ETL/ELT workflows to ingest, transform, and deliver data from various sources. Implement data quality checks, monitoring, and alerting to ensure pipeline reliability. Collaborate with analysts, scientists, and stakeholders to understand requirements and deliver solutions. Establish and enforce data engineering best practices, coding standards, and design patterns. Optimize query performance and data storage ...
About the Role
About the Role
We’re looking for a Senior Data Engineer who thrives in inclusive, collaborative environments and is passionate about building scalable data solutions. You’ll design and maintain data architectures, develop ETL/ELT pipelines, and implement DataOps practices. You’ll mentor junior engineers and work closely with stakeholders to translate business needs into technical solutions.Responsibilities:Ready to Join Through a Referral?
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