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The Data Engineer will build and optimize data pipelines, ensuring reliable data collection, storage, and access for analytics and machine learning use cases. This role will work closely with analytics and engineering teams to design scalable data architectures.
Job Responsibility:
Build and optimize data pipelines
Ensure reliable data collection, storage, and access for analytics and machine learning use cases
Develop and maintain ETL/ELT pipelines for structured and unstructured data
Integrate data from multiple sources into cloud data warehouses (Snowflake, BigQuery, Redshift)
Optimize data storage and retrieval for performance and scalability
Collaborate with analysts and data scientists to ensure data quality
Implement data governance and security best practices
Requirements:
Bachelor's degree in Computer Science, Data Engineering, or related field
Proficiency in SQL and Python
Experience with Spark, Airflow, or similar tools
Familiarity with cloud data platforms (AWS, Azure, GCP)
Nice to have:
Knowledge of data lake architectures and APIs
Experience with CI/CD and containerization
Certifications in cloud data engineering
What we offer:
Medical, vision, dental, and life and disability insurance
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