职位&公司对比

职位详情

• 东莞
• 3-5年
• 本科

• Python
• Power BI
• 英语六级

Key Responsbossibilities 1. Data Architecture & Engineering: Design, develop, and maintainkanzhun scalable data architectures and pipelines to support manufacturing applications and analytics. 2. Data Analysis & Insights: Utilize advanced analytics and machine learning techniques to extract actionable insights from large datasets, create ad-hoc visualizations to drive operational improvements and strategic initiatives. 3. IIoT System Integration: Collaborate with cross-functional teams to integrate IIoT devices and sensors into existing infrastructure, ensuring seamless data flow and interoperability. 4. Performankanzhunce Monitoring: Implement monitoring and reporting systems to track the performance of manufacturing solutions, identifying areas for optimization and enhancement. 5. Collaboration & Communication: Work closely with stakeholders, including IT, operations, and business units, to gather requirements and communicate technical concepts effectively. 6. Compliance & Security: Ensure data governance, security, and直聘 compliance with industry standards and regulations, safeguarding sensitive information. 7. Continuous Improvement: Stay updated with emerging technologies and industry trends, recommending innovative solutions to enhance data capabilities and data strategies. Person Specifications 1. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Stbossatistics or a related field. 2. Experience: Minimum of 3 years of experience in data engineering, or a related field, with a proven track record of successful project delivery. 3. Technical Skills: Proficiency in programming languages such as Python, Java, or C#, experience with data visualization tools (e.g., Power BI, Tableau) and data processing frameworks (e.g., Hadoop, Spark, Databricks). Familiar with MS Word, MS Excel, MS Outlook, and Power Point is a must. 4. Cloud Platforms: Expertise with cloud platforms (AWS, Azure, or Google Cloud) and proficiency with database and data storage solutions (e.g., SQL, NoSQL) is a must. 5. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and derive meaningful insights. 6. Communication Skills: Excellent English verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.