Build and maintain complex data pipelines integrating data from various sources
Design and develop optimized data models and scalable structures for analytics and reporting
Implement data transformation logic and automated quality checks to ensure data integrity
Required Qualifications
BS/MS degree in Computer Science, Engineering, or a related field
4+ years of experience in data engineering or ELT/ETL development
Strong proficiency in Apache Spark, Python, and advanced SQL
Hands-on experience with Apache Airflow or equivalent orchestration tools
Experience with dbt for managing data transformations
Average salary estimate
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