Data Engineer - Everforth ECS
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Key Responsibilities Design, develop, and maintain scalable data pipelines using Apache Airflow, AWS Glue, and Spark to ingest, transform, and load structured data for CBP operations.
Implement and manage Kafka topics for real-time data streaming and integration with downstream analytics services.
Collaborate with data scientists and analysts to define data models, optimize query performance, and ensure data quality and consistency.
Monitor pipeline health, troubleshoot failures, and apply performance tuning and best practices for high-availability environments.
Document architecture, data flows, and operational procedures for cross-team knowledge sharing.
Requirements 3+ years of experience in data engineering with strong proficiency in Python and SQL.
Solid understanding of data modeling, ETL best practices, and cloud data services (AWS).
Excellent problem-solving skills and ability to work collaboratively in a hybrid remote/on-site setting.
Strong communication skills and a proactive approach to continuous improvement.
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