As a Data Engineer, you’ll design and build scalable data pipelines on AWS using Glue, Lambda, Redshift, and DynamoDB, driving innovation with automated, cloud-native architectures. Alternatively, as a Software Developer, you’ll craft clean, maintainable code using Java, Python, or C++, contribute to web and backend services, perform unit testing, and participate in code reviews within Agile teams. Both roles offer opportunities to collaborate across technology functions, leverage emerging tools, and make a meaningful impact on enterprise solutions.
Details about IBM Recruitment 2025: Software Engineer
| Company name | IBM |
| Website | www.ibm.com |
| Job Role | Software Engineer |
| Work Location | Bangalore |
| Job Type | Full Time |
| Experience | Freshers and Experienced |
| Qualification | B.E/B.Tech/M.C.A/M.Tech in Computer Science or equivalent practical experience. |
| Batch | Not Mentioned |
| Expected Salary | 13 LPA |
Introduction
Software Developer plays a crucial role in designing, implementing, and maintaining efficient and reliable software systems. This role requires a solid understanding of programming languages, software engineering principles, and database concepts. The ideal candidate will have excellent problem-solving abilities and communication skills.
Your role and responsibilities
- Collaborate with the tech team to understand project requirements and specifications.
- Write clean, well-organized, and efficient code using modern programming languages and frameworks.
- Conduct unit tests, debugging, and troubleshooting to ensure the software functions as intended.
- Participate in code reviews to improve code quality, consistency, and adherence to coding standards.
- Stay updated on emerging trends and technologies in the software development industry.
- Communicate progress, issues, and suggestions to the tech team and stakeholders.
- Adhere to project timelines, deadlines, and budgets.
- Provide assistance to junior developers and contribute to knowledge sharing sessions.
Required education
- Bachelor’s Degree
Required technical and professional expertise
- Hands-on experience in object-oriented programming languages such as Java, C++, or Python.
- Knowledge of web development frameworks like React, Angular, or Vue.js.
- Knowledge of databases, SQL syntax, and NoSQL databases (e.g., MongoDB, Postgres, etc.).
- Excellent problem-solving and analytical skills.
- Strong verbal and written communication skills.
- Ability to work independently and collaboratively in a fast-paced agile environment.
- B.E/B.Tech/M.C.A/M.Tech in Computer Science or equivalent practical experience.
Preferred technical and professional experience
- Understanding of version control systems (e.g., Git, etc.) and continuous integration/continuous deployment (CI/CD) pipelines
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Details about IBM Careers 2025: Hiring Data Engineer – AWS
| Company name | IBM |
| Website | www.ibm.com |
| Job Role | Data Engineer – AWS |
| Work Location | Kochi |
| Job Type | Full Time |
| Experience | Freshers and Experienced |
| Qualification | Bachelor’s Degree |
| Batch | Not Mentioned |
| Expected Salary | 10 LPA |
Introduction
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
- As a Data Engineer at IBM, you’ll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution.
- Your primary responsibilities include:
- Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements.
- Strive for continuous improvements by testing the build solution and working under an agile framework.
- Discover and implement the latest technologies trends to maximize and build creative solutions
Required education
- Bachelor’s Degree
Preferred education
- Master’s Degree
Required technical and professional expertise
- Design and Develop Data Solutions, Design and implement efficient data processing pipelines using AWS services like AWS Glue, AWS Lambda, Amazon S3, and Amazon Redshift.
- Develop and manage ETL (Extract, Transform, Load) workflows to clean, transform, and load data into structured and unstructured storage systems.
- Build scalable data models and storage solutions in Amazon Redshift, DynamoDB, and other AWS services.
- Data Integration: Integrate data from multiple sources including relational databases, third-party APIs, and internal systems to create a unified data ecosystem.
- Work with data engineers to optimize data workflows and ensure data consistency, reliability, and performance. Automation and Optimization: Automate data pipeline processes to ensure efficiency
Preferred technical and professional experience
- Define, drive, and implement an architecture strategy and standards for end-to-end monitoring.
- Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering,
- Good to have detection and prevention tools for Company products and Platform and customer-facing
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