Senior Data Engineer Python and AWS
IBM
Senior Data Engineer Python and AWS
Job Description
Senior Data Engineer Python and AWS
📋 Job Overview
As a Senior 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, delivering technical expertise to 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 data analysis, pipeline development, and testing
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering
- Proven experience with AWS data integration and processing technologies
⭐ Preferred Qualifications
- Master's degree in a related field
- Experience with other cloud platforms like Azure or GCP
- Knowledge of machine learning and AI technologies
🛠️ Required Skills
- Python
- AWS
- Data engineering
- Data pipelines
- Data architecture
- Data analysis
- Pipeline development
- Testing
- Collaboration
- Scalability
- High-performance computing
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- 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
- Pythonintermediate
- AWSintermediate
- Data engineeringintermediate
- Data pipelinesintermediate
- Data architectureintermediate
- Data analysisintermediate
- Pipeline developmentintermediate
- Testingintermediate
- Collaborationintermediate
- Scalabilityintermediate
- High-performance computingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (experience)
- 5+ years of experience in data engineering (experience)
- Proven experience with AWS data integration and processing technologies (experience)
Preferred Qualifications
- Master's degree in a related field (experience)
- Experience with other cloud platforms like Azure or GCP (experience)
- Knowledge of machine learning and AI technologies (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 data analysis, pipeline development, and testing
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Supportive environment for all backgrounds
- general: Flexible working patterns
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer Python and AWS @ IBM.
Related Books and Jobs
Senior Data Engineer Python and AWS
IBM
Senior Data Engineer Python and AWS
Job Description
Senior Data Engineer Python and AWS
📋 Job Overview
As a Senior 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, delivering technical expertise to 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 data analysis, pipeline development, and testing
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering
- Proven experience with AWS data integration and processing technologies
⭐ Preferred Qualifications
- Master's degree in a related field
- Experience with other cloud platforms like Azure or GCP
- Knowledge of machine learning and AI technologies
🛠️ Required Skills
- Python
- AWS
- Data engineering
- Data pipelines
- Data architecture
- Data analysis
- Pipeline development
- Testing
- Collaboration
- Scalability
- High-performance computing
🎁 Benefits & Perks
- Opportunities for learning and career development
- Encouragement to be courageous and experiment daily
- 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
- Pythonintermediate
- AWSintermediate
- Data engineeringintermediate
- Data pipelinesintermediate
- Data architectureintermediate
- Data analysisintermediate
- Pipeline developmentintermediate
- Testingintermediate
- Collaborationintermediate
- Scalabilityintermediate
- High-performance computingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (experience)
- 5+ years of experience in data engineering (experience)
- Proven experience with AWS data integration and processing technologies (experience)
Preferred Qualifications
- Master's degree in a related field (experience)
- Experience with other cloud platforms like Azure or GCP (experience)
- Knowledge of machine learning and AI technologies (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 data analysis, pipeline development, and testing
Benefits
- general: Opportunities for learning and career development
- general: Encouragement to be courageous and experiment daily
- general: Supportive environment for all backgrounds
- general: Flexible working patterns
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer Python and AWS @ IBM.
Related Books and Jobs