Kafka Data Engineer
IBM
Kafka Data Engineer
Job Description
Kafka Data Engineer
📋 Job Overview
As a Kafka Data Engineer at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves building applications using Big Data technologies with a focus on API development, requiring skills in traditional application development, analytics, NLP, and statistical computing. This position offers opportunities for growth and innovation within a supportive and diverse environment.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Building applications using Big Data technologies
- Developing APIs with a strong emphasis on API development
- Utilizing traditional application development techniques
- Applying analytics libraries in projects
- Incorporating open-source NLP tools
- Using statistical computing for data analysis
✅ Required Qualifications
- Experience in building applications using Big Data technologies
- Expertise in traditional application development
- Knowledge of analytics libraries
- Familiarity with open-source NLP tools
- Proficiency in statistical computing
🛠️ Required Skills
- Big Data technologies
- API development
- Traditional application development
- Analytics libraries
- Open-source NLP tools
- Statistical computing
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Continuous trust and support in a diverse environment
- Growth-minded culture with openness to feedback
- Collaboration with colleagues for exceptional customer outcomes
Locations
- Multiple Locations, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Big Data technologiesintermediate
- API developmentintermediate
- Traditional application developmentintermediate
- Analytics librariesintermediate
- Open-source NLP toolsintermediate
- Statistical computingintermediate
Required Qualifications
- Experience in building applications using Big Data technologies (experience)
- Expertise in traditional application development (experience)
- Knowledge of analytics libraries (experience)
- Familiarity with open-source NLP tools (experience)
- Proficiency in statistical computing (experience)
Responsibilities
- Building applications using Big Data technologies
- Developing APIs with a strong emphasis on API development
- Utilizing traditional application development techniques
- Applying analytics libraries in projects
- Incorporating open-source NLP tools
- Using statistical computing for data analysis
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a diverse environment
- general: Growth-minded culture with openness to feedback
- general: Collaboration with colleagues for exceptional customer outcomes
Tags & Categories
Answer 10 quick questions to check your fit for Kafka Data Engineer @ IBM.
Related Books and Jobs
Kafka Data Engineer
IBM
Kafka Data Engineer
Job Description
Kafka Data Engineer
📋 Job Overview
As a Kafka Data Engineer at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves building applications using Big Data technologies with a focus on API development, requiring skills in traditional application development, analytics, NLP, and statistical computing. This position offers opportunities for growth and innovation within a supportive and diverse environment.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Building applications using Big Data technologies
- Developing APIs with a strong emphasis on API development
- Utilizing traditional application development techniques
- Applying analytics libraries in projects
- Incorporating open-source NLP tools
- Using statistical computing for data analysis
✅ Required Qualifications
- Experience in building applications using Big Data technologies
- Expertise in traditional application development
- Knowledge of analytics libraries
- Familiarity with open-source NLP tools
- Proficiency in statistical computing
🛠️ Required Skills
- Big Data technologies
- API development
- Traditional application development
- Analytics libraries
- Open-source NLP tools
- Statistical computing
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Continuous trust and support in a diverse environment
- Growth-minded culture with openness to feedback
- Collaboration with colleagues for exceptional customer outcomes
Locations
- Multiple Locations, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Big Data technologiesintermediate
- API developmentintermediate
- Traditional application developmentintermediate
- Analytics librariesintermediate
- Open-source NLP toolsintermediate
- Statistical computingintermediate
Required Qualifications
- Experience in building applications using Big Data technologies (experience)
- Expertise in traditional application development (experience)
- Knowledge of analytics libraries (experience)
- Familiarity with open-source NLP tools (experience)
- Proficiency in statistical computing (experience)
Responsibilities
- Building applications using Big Data technologies
- Developing APIs with a strong emphasis on API development
- Utilizing traditional application development techniques
- Applying analytics libraries in projects
- Incorporating open-source NLP tools
- Using statistical computing for data analysis
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a diverse environment
- general: Growth-minded culture with openness to feedback
- general: Collaboration with colleagues for exceptional customer outcomes
Tags & Categories
Answer 10 quick questions to check your fit for Kafka Data Engineer @ IBM.
Related Books and Jobs