Cloudera Professional

• Design, develop, and maintain data pipelines and ETL processes using Databricks
• Manage and optimize data solutions on cloud platforms such as Azure and AWS
• Implement big data processing workflows using PySpark
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions
• Ensure data quality and integrity through rigorous testing and validation
• Optimize and tune big data solutions for performance and scalability
• Stay updated with the latest industry trends and technologies in big data and cloud computing

Requirements

• Bachelors or Masters degree in Computer Science, Information Technology, or a related field
• Proven experience as a Big Data Engineer or similar role
• Strong proficiency in Databricks and cloud platforms (Azure/AWS)
• Expertise in PySpark and big data processing
• Experience with data modeling, ETL processes, and data warehousing
• Familiarity with cloud services and infrastructure
• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork abilities
• Preferred QualificationsExperience with other big data technologies and frameworks
• Knowledge of machine learning frameworks and libraries