Kafka Developer
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. 我们将有一个加速的面试过程，以快速结束 - 你需要积极和响应。远程位置 （从任何地方工作）,我很高兴能在这个世界里找到一个好人。开发了使用卡夫卡生产者-消费者 API 的数据摄入管道 （用 Python 而不是 Java）? 参考卡夫卡文档2.1章和2.2.2章。使用卡夫卡连接 （Debezium 和/或 JDBC）的数据摄入管道实施？并且8.(它意味着构建的连接器，以从来源中提取数据，在主题层面应用微小转换，并将数据输入目的地。来源可以是数据库，流程，休息/肥 API 和目的地可是数据库 （平板文件）3.我们正在寻找对数据摄入管道真正热情的开发人员。这是一个专家和个人贡献者角色。产品开发经验最好在初创公司或团队中获得 ROLE. 我们正在寻找对数据管道的真正热情，实际实践经验开发卡夫卡上的数据应用程序的工程师。你将需要与我们的数据科学团队合作在开发多个数据应用程序上。强制 1.必须有使用方案注册表环境中的卡夫卡连接工作实践经历2.必须与 JDBC 连接器和 API 一起工作3.必须在卡夫卡主题，卡夫卡经纪人，动物园管理员和卡夫卡控制中心4上工作。
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.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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
************
| 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
Products:
Careers:
Research:
Jobs:
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