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高级软件工程师 - 数据摄取

机器翻译
查看雇主原标题Senior Software Engineer - Ingestion

Databricks · Bengaluru, 印度

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

P-1403

在 Databricks,我们热衷于帮助数据团队解决世界上最棘手的问题——从让下一代交通方式成为现实,到加速医学突破的研发。我们通过构建和运行全球最佳的数据与 AI 基础设施平台来实现这一目标,让我们的客户能够利用深度数据洞察来改进其业务。

将数据摄取到 Lakehouse 是 Databricks 的战略投资领域,也是数据与 AI 工作流的关键使能因素。Lakeflow Connect 希望通过为各种数据源提供开箱即用、点击即用的连接器来解决这一问题,这些数据源包括企业应用(如 Salesforce、Workday、ServiceNow、SharePoint)、数据库(例如 SQL Server)、云存储、消息队列和本地文件。

除了作为 Lakeflow 和 Data Engineering 的重要组成部分之外,Connect 还是一项关键的平台能力。Databricks 中的每一个界面(Dashboards、Notebooks、SQL、AI)都需要摄取能力,本岗位的负责人需要与其他产品紧密合作,将 Connect 嵌入到这些界面中。

我们正在寻找在核心数据库内部机制方面有经验的工程师加入我们的 Lakeflow Connect 团队。Connect 的一个关键部分是从 OLTP 系统中提取数据,同时将对生产系统的负载降至最低。为了高效地做到这一点,我们正在构建使用增量数据捕获、日志解析等技术的系统。我们正在寻找持续亲自动手、并希望为公司的一个重要问题带来巨大影响的工程师。

你将产生的影响:

• 运用你的软件工程能力,大规模解决真实的业务需求。

• 交付一个高度可扩展、高可用且容错的引擎,每天为数千家客户处理数百 TB 的数据

• 在大型生产集群上进行底层系统调试、性能测量与优化。

• 构建架构设计,影响产品路线图,并对新项目承担所有权和责任

• 运用你的深厚经验帮助预防和调查生产问题。

• 规划并领导与公司内多个团队协作的复杂技术项目。

• 快速将复杂问题拆解为潜在解决方案、已知项和未知项,并通过原型/验证来降低风险。

我们寻找的条件:

• 计算机科学或相关领域的学士(或更高)学位

• 5 年以上以下之一的生产级经验:Python、Java、Scala、C++ 或类似语言。

任职要求

• 在大型数据库厂商之一(Microsoft SQL Server、Oracle、IBM 等)拥有数据库复制、备份、事务恢复等领域经验者优先。

• 在开发和运维后端系统方面拥有实操经验。

• 能够在高级团队成员的指导下,在从初始设计与开发到实施与持续运营的所有项目阶段中有效贡献。

关于 Databricks

Databricks 是一家 Data and AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever,以及 70% 的 Fortune 500 企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山,在全球拥有 30 多个办事处,提供统一的平台,包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息,请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。

福利待遇

在 Databricks,我们努力提供全面的福利和待遇,以满足我们所有员工的需求。有关您所在地区所提供福利的具体详情,请点击此处。

我们对多元与包容的承诺

在 Databricks,我们致力于营造多元和包容的文化,让每个人都能脱颖而出。我们非常用心地确保我们的招聘实践具有包容性,并符合平等就业机会标准。在 Databricks 寻求就业的个人,不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份及其他受保护特征而受到区别对待。

合规

如果履行工作职责需要访问受出口管制的技术或源代码,雇主可自行决定是否为此类职位申请美国政府许可证,且雇主可能仅基于这一原因而拒绝继续推进某位申请人的申请。

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

P-1403

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.

• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers

• Low level systems debugging, performance measurement & optimization on large production clusters.

• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects

• Use your deep experience to help prevent and investigate production issues.

• Plan and lead complicated technical projects that work with several teams within the company.

• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).

What we look for:

• BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.

任职要求

• Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc) is a plus to have.

• Hands-on experience in developing and operating backend systems .

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

福利待遇

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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