登录/注册我是招聘方 免费发布职位
Senior Data Engineer - Contrac
16-27K/月北京市-北京/本科及以上/5-10年
丁鑫科一周前来过
江西亚麦嘉企业管理有限公司
职位详情
岗位职责
任职要求：
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
8+ years of hands on experience designing and building data pipelines and infrastructure.
Strong proficiency in data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud-based platforms (AWS, Azure, or GCP).
Hands-on experience with data modeling, ETL processes, and distributed data processing frameworks.
Proficiency in programming languages like Python, R, Java, and expertise in SQL.
Solid understanding of data architecture principles, microservices, and data governance frameworks. Excellent problem-solving skills and ability to drive solutions in a fast-paced environment.
Strong communication and collaboration skills, with a proven ability to work with both technical and non-technical stakeholders.
岗位职责：
Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
8+ years of hands on experience designing and building data pipelines and infrastructure.
Strong proficiency in data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud-based platforms (AWS, Azure, or GCP).
Hands-on experience with data modeling, ETL processes, and distributed data processing frameworks.
Proficiency in programming languages like Python, R, Java, and expertise in SQL.
Solid understanding of data architecture principles, microservices, and data governance frameworks. Excellent problem-solving skills and ability to drive solutions in a fast-paced environment.
Strong communication and collaboration skills, with a proven ability to work with both technical and non-technical stakeholders.
岗位职责：
Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.
任职要求
无
工作地点
- 建国路环贸
验证码登录/注册
公司信息
某医药公司
- 上海
- 1000-9999人
- 生物技术
- 民营
- 不需要融资
百济神州是一家植根中国的全球性商业化生物医药公司，致力于成为分子靶向药物和免疫肿瘤药物研发，及商业创新领域的全球领导者。
2017年，百济神州与新基公司达成战略合作伙伴关系，向新基转让了tislelizumab在美国、欧洲、日本和亚洲以外的其他地区的实体瘤开发和商业化的独家权益，保留了在亚洲（除日本外）开发和商业化tislelizumab用于治疗实体瘤的权益，以及用于治疗恶性血液肿瘤和进行内部组合疗法的全球范围权益。
此外，百济神州获得了新基公司在华获批药物——注射用白蛋白紫杉醇（ABRAXANE？）, 瑞复美（REVLIMID？）和 维达莎（VIDAZA？）的独家授权，并接管其在华商业运营团队。
2018年1月，百济与Mirati公司sitravatinib在亚太地区的独家授权协议，进一步拓宽了公司的产品组合。
截至目前，百济神州在全球各地拥有超过1100名员工，其中包括在中国、美国、澳大利亚和瑞士的超过650名科学家及临床医学专家。
公司在中国的北京、上海、美国的马萨诸塞州Cambridge，新泽西州Fort Lee和加利福尼亚州旧金山Emeryville和San Mateo，瑞士的巴塞尔均设有办事机构。除此之外，百济神州在中国大陆还拥有位于北京的研发中心，苏州、广州两大生产基地，以及在上海的商业运营中心。
