Responsibilities:
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient big data platform solutions.
• Design and architect robust big data platforms, ensuring high performance, reliability, and scalability.
• Implement end-to-end data processing workflows, from data collection to analysis and visualization.
• Work closely with data scientists, analysts, and engineers to optimize data models and algorithms for efficient and accurate data analysis and mining.
• Lead the implementation and deployment of big data technologies, ensuring smooth integration with existing systems and infrastructure.
• Provide technical guidance and mentorship to development teams on big data best practices, tools, and technologies.
• Collaborate with stakeholders to define data governance and security policies and ensure compliance.
• Conduct performance tuning, monitoring, and troubleshooting of big data platforms to optimize performance and reliability.
• Stay up-to-date with industry trends and advancements in big data technologies and DevOps practices, and provide recommendations for adoption as appropriate.
• Successfully deliver projects, including big data platform implementations, data warehouse architectures, data analysis and mining, and user profiling and tagging systems.
Qualifications:
• Bachelor's degree in Computer Science, Computer Technology, or a related field. Advanced degree preferred.
• Proven experience as a Big Data Architect, with extensive experience in planning, designing, implementing, delivering, and maintaining big data platforms.
• Proficiency in the entire data processing workflow, including data collection, cleansing, preprocessing, storage, analysis, mining, and visualization.
• Demonstrated project experience in designing, developing, delivering, and deploying BI products.
• Strong project experience in business analysis and data applications in mainstream industries such as virtual currency, food delivery, internet retail, freight logistics, banking, finance, and e-commerce.
• Knowledgeable in big data technologies, frameworks, and tools such as Hadoop, Kafka, Flume, Spark
• Skilled in microservices deployment and maintenance, with expertise in DevOps practices.
• Involved in data warehouse architecture design and implementation, data analysis and mining, and user profiling and tagging system design and development.
• Successfully implemented projects in the field of big data, data warehousing, and business intelligence.
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