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Data Engineer
2 months ago
Data Engineer
$150K - $175K + benefits
Hybrid onsite 3x per week in Woodland Hills, CA
We are seeking a Data Engineer to join our team located in Woodland Hills, California. The Data Engineer will play a key role in developing and maintaining scalable data pipelines, supporting our dynamic pricing models, and ensuring data accuracy and reliability. This position offers an exciting opportunity to work in a fast-paced and dynamic environment, with a focus on data models and data architecture.
Responsibilities:
• Engage with stakeholders to comprehend data requirements and translate these into technical specifications.
• Collaborate with data scientists to prepare data for model training, validation, and deployment.
• Develop and maintain scalable data pipelines to support dynamic pricing models.
• Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability.
• Monitor and troubleshoot data workflows to ensure continuous and reliable data integration.
• Work closely with the software development team to integrate data engineering solutions into the broader product architecture.
• Ensure data governance and compliance with relevant data privacy and security regulations.
• Document data engineering processes and contribute to best practices.
• Proficiency in Python for scripting and data manipulation.
• Proficiency in Azure Databricks for streamlined data analytics.
• Proficiency in Apache Spark to enhance data processing and analytics.
• Knowledge of Cloud Technologies for efficient data storage and retrieval.
• Strong understanding of Database systems for structured data handling.
• Experience with EO/IR systems for data collection and analysis.
• Competence in Algorithm Implementation to solve complex data problems.
• Expertise in Analytics for deriving valuable insights from data.
• Familiarity with Apache Hadoop for big data processing.
• Experience in API Development for seamless data integration and communication.
• Understanding of Machine Learning to build data models and predictive systems.
• Expertise in Power BI for data visualization and reporting.
• Familiarity with Apache Kafka for real-time data processing and streaming.
FOR IMMEDIATE AND CONFIDENTIAL CONSIDERATION PLEASE REACH OUT TO CATHERINE HAMILTON AT ROBERT HALF
