Kafka开发工程师
Kafka Developer
这是一个远程职位。
请在点击申请前仔细阅读整个职位描述。点击申请后，您将进入必须完成的评估页面。
Busigence 是一家决策智能公司。我们通过结合数据、技术、业务和行为，为真实的人创建决策智能产品，以增强决策能力。
Kafka 开发者
团队：工程部
地点：远程
相关经验：0-3 年
背景：有经验者优先
薪酬：高于行业标准
要求
这是一个紧急需求。我们将为快速结案提供加速面试流程——您需要积极主动并及时响应
远程职位（可在家办公）
立即到岗的申请人必须申请
Kafka 经验丰富（提供具有竞争力的薪酬）
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| 必须具备 |
************1. 使用 Kafka Producer-Consumer API 开发过（用 Python - 不是 Java）数据摄入管道？参考 Kafka 文档第 2.1 和 2.2.2 章节
2. 使用 Kafka Connect 实现过数据摄入管道（Debezium 和/或 JDBC）？参考 Kafka 文档第 2.1、2.4 和 8 章节（这意味着构建了从源提取数据的连接器，在主题级别应用少量转换，并将数据加载到目标。源可以是数据库、流、rest/soap API，目标可以是数据库、平面文件）
3. 配置过数据平台的事件流？参考 Kafka 文档第 3 章节
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我们提供最具挑战性和令人兴奋的分布式事件流工作。您将参与复杂的平台、产品和应用程序开发
===========================================我们寻找对数据摄入管道充满热情的开发者。这是一个专业且独立贡献者角色。有初创公司或精简团队的产品开发经验者优先
职责
我们寻找对数据管道有真正热情的工程师，有实际动手开发 Kafka 上的数据应用的经验。您将需要与我们的数据科学团队合作，开发多个数据应用。
必须条件
1. 必须有在高吞吐量环境中使用 Kafka Connect 和 Schema Registry 的实际经验
2. 必须使用过 JDBC 连接器和 API
3. 必须在 Kafka Topics、Kafka Brokers、Zookeepers 和 Kafka Control Center 上有过工作经验
查看英文原文
This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Kafka Developer
Team: Engineering
Location: Remote
Relevant Exp: 0-3 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere)Immediate joiners must applyKafka Experienced (Competitive compensation
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| MUST HAVE |
************1. Developed (in Python - not Java) data ingestion pipelines using Kafka Producer-Consumer APIs? Refer Kafka documentation Chapter 2.1 & 2.2.2.Implemented data ingestion pipelines using Kafka Connect (Debezium and/or JDBC)?Refer Kafka documentation Chapter 2.1 & 2.4 and 8.(It means built connectors to extract data from sources, applying minor transformations at topics level, and load data into destinations. Sources can be databases, streams, rest/soap APIs and destinations can be databases, flat files)3.Configured event streams for data platforms ?Refer Kafka documentation Chapter 3===========================================We are offering one of the most challenging & exciting work on distributed events streams. You shall be working on sophisticated platforms, products and applications===========================================We are looking for developer with real passion for data ingestion pipelines. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for data pipelines with actual hands-on experience developing data application on Kafka. You would be required to work with our data science team on development of several data applications.
Mandatory
1. Must have hands-on experience working on Kafka connect using schema registry in a very high volume environment2. Must have worked with JDBC connectors and APIs3. Must have worked on Kafka topics, Kafka brokers, zookeepers, and Kafka Control center4. Must have worked on on AvroConverters, JsonConverters, and StringConverters5. Must have worked on Debezium source/sink connectors with CDC implementation
6. Must have worked on producer API custom logics
7. Must have worked on consumer API complex transformations8. Must have worked on setting optimal configuration for broker, topics, producer, consumer, connect, stream and admin9. Must have deployed atleast ten source/sink connectors in production
10. Must have worked on distributed computing, parallel processing and large-scale data management
11. Must have integrated Kafka with RabbitMQ/ Reddis/ AWS SQS
Preferred1. Good to have worked on Admin API, Connect API and Stream API
2. Good to have worked on development of data ingestion platform
3. Good to have worked on vinaigretteKSQL, KStream
4. Good to have worked on confluent connectors
5. Good to have build connectors from scratch using Java
Benefits
How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit
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Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We look for talent, not skills1. You must be [super sharp]2. You must be [extremely energetic]3. You must be [honourably honest]In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you:[Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
Originally posted on Himalayas