Kafka Developer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in USA
Remote
Junior
Artificial Intelligence • Big Data • Analytics • Business Intelligence
The Role
Develop and maintain high-volume Kafka data ingestion pipelines in Python using Producer/Consumer APIs and Kafka Connect (Debezium/JDBC). Configure topics, brokers, schema registry, converters, and connectors; implement CDC, custom producer/consumer logic and transformations; optimize broker/producer/consumer/connect/stream settings; deploy multiple source/sink connectors to production and integrate Kafka with messaging systems like RabbitMQ, Redis, and AWS SQS.
Summary Generated by Built In

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 responsive

Remote position (work-from-anywhere)
Immediate joiners must apply
Kafka Experienced (<5 years)
Competitive compensation



************
| MUST HAVE |
************
https://kafka.apache.org/documentation/

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 environment
2. Must have worked with JDBC connectors and APIs 
3. Must have worked on Kafka topics, Kafka brokers, zookeepers, and Kafka Control center
4. Must have worked on on AvroConverters, JsonConverters, and StringConverters
5. 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 transformations
8. Must have worked on setting optimal configuration for broker, topics, producer, consumer, connect, stream and admin
9. 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


Preferred
1. 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 vinaigrette KSQL, KStream
4. Good to have worked on confluent connectors
5. Good to have build connectors from scratch using Java


Benefits
How to Apply
You should apply online by clicking "Apply Now". 

For queries regarding an open position, please write to [email protected]

For more information, visit http://www.busigence.com
Products: http://busigence.com/offering

Careers: http://careers.busigence.com

Research: http://research.busigence.com

Jobs: http://careers.busigence.com


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 http://busigence.com/offering

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 skills
1. 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


Skills Required

  • Developed data ingestion pipelines in Python using Kafka Producer and Consumer APIs
  • Implemented data ingestion pipelines using Kafka Connect (Debezium and/or JDBC)
  • Configured event streams for data platforms
  • Hands-on experience with Kafka Connect using Schema Registry in high-volume environments
  • Experience with JDBC connectors and connector APIs
  • Worked with Kafka topics, brokers, Zookeeper, and Kafka Control Center
  • Experience with AvroConverters, JsonConverters, and StringConverters
  • Worked on Debezium source/sink connectors with CDC implementation
  • Implemented custom logic using Kafka Producer API
  • Implemented complex transformations using Kafka Consumer API
  • Set optimal configuration for broker, topics, producer, consumer, connect, stream, and admin
  • Deployed at least ten source/sink connectors in production
  • Experience with distributed computing, parallel processing, and large-scale data management
  • Integrated Kafka with RabbitMQ, Redis, and/or AWS SQS
  • Relevant experience: 0-3 years (Kafka experienced, immediate joiners preferred)
  • Experience with Admin API, Connect API, and Stream API
  • Experience developing data ingestion platforms
  • Experience with KSQL and KStream
  • Experience with Confluent connectors
  • Built connectors from scratch using Java
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The Company
0 Employees
Year Founded: 2012

What We Do

Busigence is a Decision Intelligence company that creates decision intelligence products for real people by combining data, technology, business, and behavior to enable strengthened decisions. Founded by IIT alumni, the company focuses on highly disruptive big data technologies, utilizing artificial intelligence and machine learning to deliver actionable business and relationship intelligence solutions.

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