Company Name: IBM
Position Title: Data Engineer – Data Integration
Location: Pune, Maharashtra, India
Work Model: Hybrid (Combination of Remote & In-Office)
Qualification: Any Graduate (Bachelor’s degree required; Master’s degree preferred)
Experience Level: Early Professional (Freshers and candidates with initial years of experience)
Salary: ₹6 LPA to ₹12 LPA (Expected, based on experience and skill set)
Employment Type: Full-time, Permanent
About IBM
IBM (International Business Machines Corporation) is a global leader in technology, innovation, and consulting. With over a century of excellence, IBM continues to play a significant role in transforming industries and organizations through artificial intelligence, hybrid cloud computing, data analytics, and cutting-edge software solutions. The company is known for its diverse work culture, technical expertise, and a forward-thinking approach toward solving complex business challenges.
Currently, IBM is expanding its Consulting Client Innovation Centers (Delivery Centers) to strengthen its ability to serve clients across both public and private sectors. This new opening for a Data Engineer – Data Integration role is part of that growth.
Role Overview
The Data Engineer – Data Integration position offers an excellent opportunity for early professionals to work on challenging projects that involve designing, developing, and optimizing data pipelines and infrastructure. As a Data Engineer, you will collaborate with multidisciplinary teams and play a vital role in supporting data-driven business decisions for IBM’s global clients.
Key Responsibilities
- Design, develop, and maintain Ab Initio ETL graphs for data extraction, transformation, and loading from diverse sources into various target systems.
- Implement data quality checks and validation processes to ensure data integrity.
- Collaborate closely with data architects, analysts, and business stakeholders to understand requirements and build robust data solutions.
- Build scalable data infrastructure that can handle growing data demands while ensuring performance optimization.
- Coordinate data access and security protocols to enable seamless access for data scientists and analysts.
- Conduct data modeling, transformation, and performance tuning for optimized ETL workflows.
- Utilize various Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others.
- Document ETL processes, configurations, and solutions for knowledge sharing and maintenance.
- Participate in design reviews, code reviews, and team discussions to enhance solution quality.
Educational Qualifications
- Mandatory:
- Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, or any equivalent technical field.
- Preferred:
- Master’s Degree in relevant fields such as Data Engineering, Computer Science, or Information Systems.
Candidates from any graduation stream may apply, provided they possess relevant technical skills in data engineering.
Required Technical Skills
- Proficiency in Ab Initio ETL development.
- Strong foundation in data modeling, data analysis, and ETL pipeline design.
- Familiarity with SQL, relational databases, and data warehousing concepts.
- Knowledge of data validation, data cleansing, and data integration.
- Experience working in collaborative, cross-functional teams.
- Strong analytical thinking, problem-solving, and troubleshooting capabilities.
Preferred Technical Skills
- Hands-on experience in optimizing Ab Initio graphs for better performance.
- Familiarity with data security protocols and governance practices.
- Exposure to cloud platforms and modern data tools is an added advantage.
- Working knowledge of collaborative development environments involving QA, database admins, and business teams.
Application Process
Interested candidates can apply directly via IBM’s official career portal or through job boards where the position is posted. Applicants must:
- Prepare a well-structured and updated resume highlighting relevant academic and technical skills.
- Complete IBM’s online job application form.
- Upload necessary documents including academic transcripts and certifications (if any).
Tip: Ensure that your resume emphasizes any ETL projects, internships, or coursework you have done related to data engineering.
Interview Process
The IBM recruitment process for this role typically includes the following stages:
- Application Screening:
IBM recruiters review submitted applications to shortlist eligible candidates. - Online Assessment (if applicable):
May include aptitude, logical reasoning, technical MCQs, and basic programming questions. - Technical Interview:
Focuses on data engineering concepts, ETL tools (especially Ab Initio), SQL queries, data modeling, and practical problem-solving scenarios. - HR Interview:
Discusses candidate expectations, work culture, job location flexibility, and salary negotiations. - Final Offer & Documentation:
Upon successful completion of all rounds, selected candidates will receive an offer letter and onboarding details.
Benefits of Joining IBM
- Competitive salary and performance-based incentives.
- Flexible hybrid work model ensuring better work-life balance.
- Opportunity to work on international projects with top global clients.
- Access to continuous learning platforms, certifications, and technical bootcamps.
- Comprehensive healthcare benefits for employees and their families.
- Diverse and inclusive work culture.
- Career progression opportunities within one of the world’s leading IT firms.
Apply Now: Click here
Important Note
This job update is for informational purposes only. All candidates are advised to verify eligibility, role details, and application instructions directly on the official IBM Careers website before applying. Do not share personal information with unauthorized third-party sources.