高级数据工程师，中文
Senior Data Engineer, Mandarin
职位描述：
我们正在寻找一位拥有5年以上数据工程师经验的候选人，加入我们不断壮大的分析专家团队。该职位将负责扩展和优化我们的数据和数据管道架构，以及优化跨职能团队的数据流和收集。数据工程师将支持公司的数据项目，并确保在所有项目中保持最佳的数据交付架构。需要具备英语和马来语的熟练能力，以方便与我们多元化的团队和国际利益相关者进行有效沟通。
职责：
创建和维护最优的数据管道架构。
整合大型、复杂的数据集，以满足功能性和非功能性业务需求。
识别、设计并实施内部流程改进：自动化手动流程，优化数据交付，重新设计基础设施以提高可扩展性等。
构建用于从各种数据源中提取、转换和加载数据的基础设施，使用AWS的大数据和SQL技术。
构建分析工具，利用数据管道为客户提供行为、运营效率和其他关键业务绩效指标的可操作见解。
与高管、产品、数据和设计团队等利益相关者合作，协助解决与数据相关的技术问题，并支持他们的数据基础设施需求。
通过多个数据中心和AWS区域，确保我们的数据在不同国家边界之间分离和安全。
为数据分析和数据科学家团队成员构建数据工具，帮助他们打造和优化我们的产品成为行业创新领导者。
与数据和分析专家合作，努力提升我们数据系统的功能。
所需技能：
至少5年以上使用大数据相关生态系统和工具（如Databricks、Snowflake）的实际经验。
至少5年以上使用大数据相关工具（如Spark、Hive、Hadoop、EMR）的实际经验。
至少5年以上使用SQL/非SQL知识和经验的实际经验。
至少3年以上使用AWS服务（如EC2、ECS、MSK、RDS、Redshift）的实际经验。
至少3年以上Python开发经验。
实际经验构建和优化“大数据”数据管道、架构和数据集。
实际经验构建和优化流式/批处理数据管道。
查看英文原文
Job Description:
We are looking for a candidate with 5+ years of experience in a Data Engineer role, to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support the company on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects,proficiency in both English and Manderian is required to facilitate effective communication with our diverse team and international stakeholders.
Responsibilities:
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ and SQL technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer behavior, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Required Skills:
Minimum of 5+ years of hands-on experience with big data related ecosystems and tools such as Databricks, Snowflake
Minimum of 5+ years of hands-on experience with big data related tools such as Spark, Hive, Hadoop, EMR.
Minimum of 5+ years of hands-on experience with SQL/NonSQL knowledge and experience.
Minimum of 3+ years of hands-on experience with AWS services such as EC2, ECS, MSK, RDS, Redshift
Minimum of 3+ years python development experience
Hands-on experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Hands-on experience building and optimizing streaming/batch data pipelines.
Experience of working on large scale systems
Strong analytic skills related to working with structured/unstructured datasets.
Successful history of manipulating, processing and extracting value from large disconnected datasets.
Knowledgeable about data modeling, data access, and data storage techniques.
Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or similar field; a Master’s is a plus
Fluent Manderian speaking skill is a must
Preferred Qualifications:
Familiar with Indexing solutions such as Elasticsearch, Solr
Familiar with streaming systems and tools such as Spark-streaming, Kafka-stream, Flink, etc
Familiar with Workflow management tools such as Airflow, Apache Nifi, etc
Good understanding of machine learning/numerical and analytical skills
Originally posted on Himalayas