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Data Pipeline Developer
Job Description & How to Apply Below
This role is vital for creating scalable data solutions while collaborating within agile teams. As a Senior Data Developer, you will lead the design and optimization of data pipelines using SQL, Python, Spark, and Azure services. Your expertise will ensure the reliability and governance of the data infrastructure, making significant contributions to business and technology objectives.
Key Responsibilities:
• Design scalable ELT/ETL pipelines with cloud-native tools
• Implement dimensional models for BI/reporting integration
• Apply data security best practices and quality checks
• Optimize queries and jobs for performance
• Develop CI/CD pipelines and automation scripts
Requirements:
• 6-8 years of data development experience
• Proficiency in SQL, Python, Spark, and Azure
• Bachelor's degree in Computer Science or related field
• Knowledge of data security and quality practices
• Experience using Agile methodologies
Bring your data development skills and passion for optimization to CPUS Engineering!
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