[IT] LEAD SOFTWARE ENG | DATA
数据工程团队正在开发***解决方案的脊柱。为了做到这一点,该团队使用尖端技术和框架如 BigQuery,Spanner,Bigtable, & Dataproc 来处理和分析数据,帮助创建每天处理数百万事件所需的管道,并与数据科学团队合作,使机器学习和人工智能中的创新工作能够在我们的生产环境中得到利用。责任:· 贡献 ***微批量/实时流管道 (lambda 架构)的发展 · 与工程团队密切合作于数据预处理和数据结构 · 领导和开发数据工程师团队 ·帮助指导数据工程团队,领导数据工程倡议 ·与关键利益相关者合作推动建筑战略 ·参与建筑评审 · 在需要高水平的可扩展性,安全性和可靠性的环境中保持创新文化 资格:·计算机科学学士学位或 MS 学位优先,或者同等工作经验 ·了解分布式数据系统 ·前任领导和团队管理经验 ·之前曾经使用 Java 和 Scala 的经验 ·以前曾经使用大数据工具如 Bigtable,Apache Spark,Apache spark 流媒体,Apache Heron,BigQuery Preferred 等技术经历:·谷歌云,Kubernetes ·经验运行生产高兰系统,基础设施背景,低延迟/高吞吐量架构系统设计 ·对数据工程的强烈兴趣 ·飞机和船上学习新技术的热情 · 数据科学知识是一个优势 ·在多个团队工作的经验加***自豪地成为平等机会的工作场所。我们致力于不论种族,颜色,祖先,宗教,性别,民族来源,性取向,年龄,国籍,婚姻状况,残疾,性别身份或退伍军人地位都保持平等就业机会。加入我们的使命 数字企业使用***来记住用户比以往任何时候都更好,使他们能够通过电子邮件和短信以及广告提供高性能的个人信息。***最近获得了&&&&,因此营销人员现在可以从未经过 SMS 和电子邮件中获取更多收入。***
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The Data Engineering team is developing the backbone of *** solutions. To do this, the team is using cutting-edge technologies and frameworks such as BigQuery, Spanner, Bigtable, & Dataproc to process and analyze data, to help create the pipelines required to handle millions of events daily, and collaborate with the data science team to enable the innovative work in machine learning and AI to be utilized in our production environment.
Responsibilities:
- Contribute to the development of *** Micro Batch/Real Time streaming pipelines (lambda architecture)
- Work closely with the engineering team on data preprocessing and data structure
- Ability to lead and develop team of data engineers
- Help mentoring the data engineering team and leading the data engineering initiatives
- Collaborate with key stakeholders to drive the architecture strategies
- Participate in architecture reviews
- Maintain a culture of innovation, in an environment that requires high levels of scalability, security, and reliability
Qualifications:
- BA/BS or MS degree in Computer Science preferred, or equivalent work experience
- Understanding of distributed data systems
- Previous leadership and team management experience
- Previous experience with Java and Scala
- Previous experience working with big data tools such as Bigtable, Apache Spark, Apache Spark Streaming, Apache Heron, BigQuery
Preferred:
- Google Cloud, Kubernetes
- Experience running production Golang systems, Infrastructure background, Low Latency / High Throughput Architectural System Design
- Strong interest in data engineering
- Eagerness to learn new technologies on the fly and ship to production
- Knowledge in data science is a plus
- Experience working on diverse teams a plus
*** is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
JOIN US ON OUR MISSION
*** is a leading performance marketing engine that delivers tailored experiences at scale. Digital businesses use *** to remember who users are better than ever before, allowing them to deliver high-performing, one-to-one messages on websites, through emails and texts, and in ads at a scale that’s not otherwise possible. *** recently acquired &&& so marketers can now unlock more revenue than ever before across SMS and email.
*** drives $1.2 billion dollars annually in directly attributable revenue for top eCommerce brands like Uniqlo, Sonos and HelloFresh, often ranking as a top-3 revenue channel in their own analytics. *** is maniacally obsessed with ROI and aims to be the infrastructural interface between individuals and brands in a world where consumers choose what they want, from whom, and when.
Having raised over $44.9 million in funding from proven firms like Battery Ventures, Cross Creek Advisors and Primary Ventures, *** was named theFastest Growing Software Company in America by Inc Magazine. With headquarters in New York and London, *** has been recognized byGlassdoor and Crain's for its exceptional culture and being one of the top places to work in the country.The company recently signed both the White House Equal Pay Pledge and the United Nations Women's Empowerment Pledge and continues to set the bar as a pioneer in technology innovation and workplace inclusion initiatives.
What bonds our community together is our commitment to 5 Core Values:
- Come Hungry
- Carry Each Other
- Drive Undeniable Performance
- Respect People, Privacy, Ideas
- Bounce Back
Come join us on our mission.
Information Technology
Originally posted on Himalayas