Senior Data Engineer with Python
IBM
Senior Data Engineer with Python
Job Description
Senior Data Engineer with Python
📋 Job Overview
In this Senior Data Engineer role at IBM, you will design, build, and maintain scalable cloud data and automation solutions using AWS and modern development frameworks. Key responsibilities include developing and optimizing ETL pipelines, automating workflows through Python APIs, and ensuring secure integrations across systems. This position is based in one of IBM's Consulting Client Innovation Centers, where you will collaborate with various teams to deliver high-performing infrastructure.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, build, and maintain scalable cloud data and automation solutions using AWS
- Develop and optimize ETL pipelines
- Automate workflows through Python APIs
- Ensure secure and reliable integrations across systems
- Collaborate with DevOps, data, and security teams to deliver high-performing infrastructure
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- 5+ years of experience in data engineering
- Proven experience with AWS cloud services
- Strong proficiency in Python programming
⭐ Preferred Qualifications
- Master's degree in a relevant field
- Experience with other cloud platforms like Azure or GCP
- Knowledge of big data technologies such as Hadoop, Spark
🛠️ Required Skills
- AWS
- Python
- ETL
- APIs
- DevOps
- Data security
- Cloud data solutions
- Automation
- Collaboration
- Problem-solving
🎁 Benefits & Perks
- Opportunities for learning and career development
- Flexible working patterns
- Supportive and inclusive work environment
- Commitment to equal employment opportunity
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
- AWSintermediate
- Pythonintermediate
- ETLintermediate
- APIsintermediate
- DevOpsintermediate
- Data securityintermediate
- Cloud data solutionsintermediate
- Automationintermediate
- Collaborationintermediate
- Problem-solvingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- 5+ years of experience in data engineering (experience)
- Proven experience with AWS cloud services (experience)
- Strong proficiency in Python programming (experience)
Preferred Qualifications
- Master's degree in a relevant field (experience)
- Experience with other cloud platforms like Azure or GCP (experience)
- Knowledge of big data technologies such as Hadoop, Spark (experience)
Responsibilities
- Design, build, and maintain scalable cloud data and automation solutions using AWS
- Develop and optimize ETL pipelines
- Automate workflows through Python APIs
- Ensure secure and reliable integrations across systems
- Collaborate with DevOps, data, and security teams to deliver high-performing infrastructure
Benefits
- general: Opportunities for learning and career development
- general: Flexible working patterns
- general: Supportive and inclusive work environment
- general: Commitment to equal employment opportunity
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer with Python @ IBM.
Related Books and Jobs
Senior Data Engineer with Python
IBM
Senior Data Engineer with Python
Job Description
Senior Data Engineer with Python
📋 Job Overview
In this Senior Data Engineer role at IBM, you will design, build, and maintain scalable cloud data and automation solutions using AWS and modern development frameworks. Key responsibilities include developing and optimizing ETL pipelines, automating workflows through Python APIs, and ensuring secure integrations across systems. This position is based in one of IBM's Consulting Client Innovation Centers, where you will collaborate with various teams to deliver high-performing infrastructure.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, build, and maintain scalable cloud data and automation solutions using AWS
- Develop and optimize ETL pipelines
- Automate workflows through Python APIs
- Ensure secure and reliable integrations across systems
- Collaborate with DevOps, data, and security teams to deliver high-performing infrastructure
✅ Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field
- 5+ years of experience in data engineering
- Proven experience with AWS cloud services
- Strong proficiency in Python programming
⭐ Preferred Qualifications
- Master's degree in a relevant field
- Experience with other cloud platforms like Azure or GCP
- Knowledge of big data technologies such as Hadoop, Spark
🛠️ Required Skills
- AWS
- Python
- ETL
- APIs
- DevOps
- Data security
- Cloud data solutions
- Automation
- Collaboration
- Problem-solving
🎁 Benefits & Perks
- Opportunities for learning and career development
- Flexible working patterns
- Supportive and inclusive work environment
- Commitment to equal employment opportunity
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
- AWSintermediate
- Pythonintermediate
- ETLintermediate
- APIsintermediate
- DevOpsintermediate
- Data securityintermediate
- Cloud data solutionsintermediate
- Automationintermediate
- Collaborationintermediate
- Problem-solvingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (experience)
- 5+ years of experience in data engineering (experience)
- Proven experience with AWS cloud services (experience)
- Strong proficiency in Python programming (experience)
Preferred Qualifications
- Master's degree in a relevant field (experience)
- Experience with other cloud platforms like Azure or GCP (experience)
- Knowledge of big data technologies such as Hadoop, Spark (experience)
Responsibilities
- Design, build, and maintain scalable cloud data and automation solutions using AWS
- Develop and optimize ETL pipelines
- Automate workflows through Python APIs
- Ensure secure and reliable integrations across systems
- Collaborate with DevOps, data, and security teams to deliver high-performing infrastructure
Benefits
- general: Opportunities for learning and career development
- general: Flexible working patterns
- general: Supportive and inclusive work environment
- general: Commitment to equal employment opportunity
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Engineer with Python @ IBM.
Related Books and Jobs