Data Engineer-AWS
IBM
Data Engineer-AWS
Job Description
Data Engineer-AWS
📋 Job Overview
As a Data Engineer at IBM, you will design, develop, and maintain large-scale data pipelines and architectures using AWS technologies. You will collaborate with cross-functional teams to optimize data workflows, ensuring high performance and scalability. This role is based in one of IBM's Consulting Client Innovation Centers, where you will deliver technical expertise to drive innovation for clients globally.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, develop, and maintain large-scale data pipelines and architectures
- Collaborate with cross-functional teams to analyze and optimize data workflows
- Ensure high-performance and scalability of data solutions
- Deliver high-quality data products through expertise in data analysis, pipeline development, and testing
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- Experience with AWS data integration and processing technologies
- Proven experience in designing, developing, and maintaining data pipelines
⭐ Preferred Qualifications
- Advanced degree in a relevant field
- Certifications in AWS data services
- Experience with other cloud platforms
🛠️ Required Skills
- AWS data integration and processing technologies
- Data analysis
- Pipeline development
- Testing
- Collaboration
- Optimization
- Scalability
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Supportive environment for all backgrounds
- Flexible working patterns
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
- AWS data integration and processing technologiesintermediate
- Data analysisintermediate
- Pipeline developmentintermediate
- Testingintermediate
- Collaborationintermediate
- Optimizationintermediate
- Scalabilityintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- Experience with AWS data integration and processing technologies (experience)
- Proven experience in designing, developing, and maintaining data pipelines (experience)
Preferred Qualifications
- Advanced degree in a relevant field (experience)
- Certifications in AWS data services (experience)
- Experience with other cloud platforms (experience)
Responsibilities
- Design, develop, and maintain large-scale data pipelines and architectures
- Collaborate with cross-functional teams to analyze and optimize data workflows
- Ensure high-performance and scalability of data solutions
- Deliver high-quality data products through expertise in data analysis, pipeline development, and testing
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment
- general: Supportive environment for all backgrounds
- general: Flexible working patterns
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer-AWS @ IBM.
Related Books and Jobs
Data Engineer-AWS
IBM
Data Engineer-AWS
Job Description
Data Engineer-AWS
📋 Job Overview
As a Data Engineer at IBM, you will design, develop, and maintain large-scale data pipelines and architectures using AWS technologies. You will collaborate with cross-functional teams to optimize data workflows, ensuring high performance and scalability. This role is based in one of IBM's Consulting Client Innovation Centers, where you will deliver technical expertise to drive innovation for clients globally.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, develop, and maintain large-scale data pipelines and architectures
- Collaborate with cross-functional teams to analyze and optimize data workflows
- Ensure high-performance and scalability of data solutions
- Deliver high-quality data products through expertise in data analysis, pipeline development, and testing
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- Experience with AWS data integration and processing technologies
- Proven experience in designing, developing, and maintaining data pipelines
⭐ Preferred Qualifications
- Advanced degree in a relevant field
- Certifications in AWS data services
- Experience with other cloud platforms
🛠️ Required Skills
- AWS data integration and processing technologies
- Data analysis
- Pipeline development
- Testing
- Collaboration
- Optimization
- Scalability
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment
- Supportive environment for all backgrounds
- Flexible working patterns
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
- AWS data integration and processing technologiesintermediate
- Data analysisintermediate
- Pipeline developmentintermediate
- Testingintermediate
- Collaborationintermediate
- Optimizationintermediate
- Scalabilityintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- Experience with AWS data integration and processing technologies (experience)
- Proven experience in designing, developing, and maintaining data pipelines (experience)
Preferred Qualifications
- Advanced degree in a relevant field (experience)
- Certifications in AWS data services (experience)
- Experience with other cloud platforms (experience)
Responsibilities
- Design, develop, and maintain large-scale data pipelines and architectures
- Collaborate with cross-functional teams to analyze and optimize data workflows
- Ensure high-performance and scalability of data solutions
- Deliver high-quality data products through expertise in data analysis, pipeline development, and testing
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment
- general: Supportive environment for all backgrounds
- general: Flexible working patterns
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer-AWS @ IBM.
Related Books and Jobs