职位&公司对比

职位详情

• 广州
• 3-5年
• 本科

• 要求数据开发经验
• Python
• Java
• Scala
• SQL
• 数据平台开发经验
• Spark
• 金融行业经验

Job Description: 1.Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. 2.Designing and optimizing data storage solutions, including data warehouses and data lakes. 3.BOSS直聘Ensuring data quality and integrity through data validation, cleansing, and error handling. 4.Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). 5.Implementing data security measures and access controls to protect sensitive information. 6.Automating and improving data processes and workflows for scalability and efficiency. 7.Monitoring data infrastructure for performance and reliability to address issues promptly. 8.Keeping abreast of industry trends and emerging technologies in data engineering. 9.Documenting data pipelines, processes, and best practices for knowledge sharing. 10.Participating in data governance and compliance efforts to meet regulatory requirements. 11.Continuously optimizing data architecture to support the company's evolving data needs. 12.Collaborating with cross-functional teams to drive data-driven decision-making within the organization. Required skills: 1.Proficiency in data modelling and database management. 2.Strong programming skills (eboss.g., Python, Java, or SQL). 3.Knowledge obossf big data technologies, especially in Nifi and Spark. 4.Experience with ETL (Extract, Transform, Load) procekanzhunsses. 5.Familiarity with data warehousing and cloud platforms (e.g., AWS, Azure, or Google Cloud). 6.Degrees in computer science or related field.