Bigdata Developer

1.Data Analysis: Analyze business requirements and design big data solutions that meet performance, scalability, and security needs.2.System Architecture: Design and develop data processing systems, including data ingestion, storage, processing, and analytics using big data technologies such as Hadoop, Spark, and NoSQL databases.3.Data Integration: Integrate data from different sources and formats, such as structured and unstructured data, and ensure data quality and consistency.4.Performance Optimization: Optimize data processing systems for performance, scalability, and reliability, including tuning of data ingestion, processing, and storage.5.Data Visualization: Develop and maintain data visualization tools and dashboards to enable data exploration and insights.6.Data Security: Ensure data security and compliance with relevant regulations and standards, such as GDPR, HIPAA, and PCI.7.Testing and Deployment: Develop and execute testing plans to validate the functionality, performance, and scalability of big data solutions, and deploy solutions to production environments.8.Troubleshooting and Support: Provide technical support and troubleshooting for big data solutions, including identifying and resolving issues with data processing, storage, and analytics.Strong programming skills, with experience in programming languages such as Java, Scala, or Python. They should also have a deep understanding of big data technologies, such as Hadoop, Spark, and NoSQL databases, and experience with data processing, storage, and analytics.