该职位来源于猎聘 我们正在寻找一位 数据工程师(中级)加入我们的团队。理想的候选人应具备扎实的数据管道构建与管理经验,熟悉 AWS Glue 和 Python。你将负责设计、开发和维护 ETL 流程,确保数据质量,并支持业务分析。 主要职责: 1. 使用 AWS Glue 及其他 AWS 服务设计、开发和维护 ETL 数据管道。 2. 从不同数据源进行抽取、转换和加载(ETL),并导入目标系统。 3. 确保数据的高质量、一致性和可靠性。 4. 与跨团队成员合作,并能用英语进行有效沟通。 5. 编写和维护 Python 脚本,用于数据处理和自动化。 6. 支持分析和报表所需的数据集成与转换。 任职要求: 1. 2–5 年数据工程或相关岗位经验。 2. 熟悉 AWS Glue及相关 AWS 数据服务(如 S3、Redshift)。 3. 具备扎实的 ETL 流程和数据建模知识。 4. 熟练使用 Python进行数据处理。 5. 能够用 英语进行有效沟通。 6. 具备良好的问题解决能力和数据分析思维。 Job Description (English): We are looking for a Data Engineer (Intermediate Level)to join our team. The ideal candidate should have solid experience in building and managing data pipelines, with hands-on skills in AWS Glue and Python. You will be responsible for designing, developing, and maintaining ETL processes, ensuring data quality, and supporting business analytics. Responsibilities:
- Design, develop, and maintain ETL pipelines using AWS Glue and other AWS services.
- Perform data extraction, transformation, and loading (ETL) from various sources into target system.
- Ensure high data quality, consistency, and reliability.
- Collaborate with cross-functional teams and communicate effectively in English.
- Write and maintain Python scripts for data processing and automation. Support data integration and transformation for analytics and reporting. Requirements: 1. 2–5 years of experience in Data Engineering or similar roles.
- Hands-on experience with AWS Glue and related AWS data services (e.g., S3,Redshift).
- Strong knowledge of ETL processes and data modeling.
- Proficiency in Python for data processing.
- Ability to communicate effectively in English.
- Strong problem-solving and analytical skills.