IBM Data Engineer Jobs offer an excellent entry point for fresh graduates to start their career in data integration and analytics. This role involves designing, developing, and optimizing data models and ETL processes to meet client business needs. Based in Pune with a hybrid work model, candidates will gain hands-on experience with cutting-edge data technologies. IBM encourages continuous learning and collaboration to help employees succeed. Join IBM Data Engineer Jobs to be part of a global leader transforming the future through data.
Job Details
- Role: Data Engineer – Data Integration
- Qualification: Any Graduate
- Experience: Entry Level / Freshers welcome
- Salary: Not specified
- Location: Pune, Maharashtra, India
- Work Model: Hybrid (Onsite and Remote)
- Job ID: 24935
- Employment Type: Fixed Term
Company Overview
IBM is a global leader in technology and consulting, delivering innovative solutions to help businesses and societies thrive. Since 1911, IBM has been pioneering technologies including AI, cloud computing, quantum computing, and blockchain. With a strong focus on collaboration, continuous learning, and diversity, IBM empowers employees to grow and innovate. The company partners with Fortune 50 firms worldwide, driving digital transformation and sustainable growth. IBM fosters an inclusive workplace culture where every individual can contribute and succeed.
Role & Responsibilities
The Data Engineer will develop and maintain big data solutions, focusing on data integration and ETL workflows. Key responsibilities include:
1) Data Pipeline Development
- Design, build, and optimize data models and ETL processes based on client requirements.
- Develop and manage data infrastructure for a rapidly growing data-driven organization.
2) Collaboration and Security
- Coordinate data access and security to support data scientists and analysts.
- Work closely with data architects and business analysts to understand data needs.
3) Ab Initio Tools and Optimization
- Develop and maintain Ab Initio graphs for ETL processes.
- Implement data quality and validation within Ab Initio.
- Optimize Ab Initio components for performance and efficiency.
4) Documentation and Reviews
- Participate in design reviews and provide technical expertise.
- Maintain clear documentation of processes and workflows.
Eligibility Criteria
- Bachelor’s degree required; Master’s preferred.
- Strong analytical skills and knowledge of data modeling and ETL processes.
- Familiarity with Ab Initio components and big data tools.
- Ability to collaborate with cross-functional teams.
- Willingness to work in a hybrid model based in Pune.
Salary Details
Salary details are not specified but IBM offers competitive compensation packages aligned with industry standards and candidate experience.
Work Model
This position follows a hybrid work model, combining onsite work in Pune with remote work flexibility. Candidates should be ready to travel up to 20% as needed.
Application Process
Interested candidates should:
- Visit IBM’s official career website using the job ID 24935.
- Complete the online application form accurately.
- Submit an updated resume and relevant documents.
Selection Process
- Resume Screening: Shortlisting based on qualifications and experience.
- Online Assessments: Technical and analytical skill tests.
- Technical Interviews: Evaluate programming, data engineering knowledge, and problem-solving skills.
- HR Interview: Assess cultural fit and communication skills.
Perks and Benefits
- Opportunity to work with cutting-edge technologies.
- Collaborative and inclusive work culture.
- Learning and professional development programs.
- Global exposure and career advancement opportunities.
Apply Now
Kickstart your career with IBM by applying for the Data Engineer – Data Integration role today. Visit the official IBM careers page and submit your application:
Apply Link – IBM Data Engineer Jobs
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Tips for Job Seekers
- Prepare for Technical Tests: Strengthen your knowledge in data modeling, ETL processes, and hands-on practice with Ab Initio and SQL-based assessments.
- Research IBM Thoroughly: Understand IBM’s core services, values, workplace culture, and latest innovations to align your aspirations with the company’s vision.
- Enhance Analytical Skills: Practice solving real-world data problems, focus on interpreting large datasets, and improve your logical thinking for interviews.
- Develop Collaboration Skills: Build strong communication and teamwork abilities to effectively work with data scientists, engineers, and business analysts.
- Stay Flexible and Adaptive: Be ready to embrace IBM’s hybrid work model, adjust to shifting project needs, and stay open to continuous learning opportunities.
Important Note
Ensure your application is complete and submitted on time. Follow IBM’s official career site for updates and instructions during the recruitment process.
FAQs – IBM Data Engineer Jobs
What degrees qualify me for this IBM Data Engineer position?
Any graduate degree qualifies; freshers are welcome and postgraduate candidates are preferred. The ideal candidate should have foundational skills in SQL, ETL design, and data modeling.
Where is the job located and what is the work setup?
The role is based in Pune and follows a hybrid model, blending office presence and remote work. You may be required to visit the office onsite approximately 1 or 2 days per week.
What technologies will I use in this role?
You’ll work with data integration tools like Ab Initio, develop ETL pipelines, and manage big‑data platforms (e.g., Hadoop/Snowflake). Experience with SQL, Python, and cloud data stores is helpful.
Is this role suitable for fresh graduates?
Yes, this is an entry-level role open to freshers with a strong interest in data engineering. Prior internship or academic projects in ETL or data handling are beneficial.
What programming languages are essential for this role?
SQL and Python are critical for querying, data transformation, and scripting ETL workflows. Familiarity with a language like Scala or Java is an added advantage.
What is Ab Initio, and is expertise needed?
Ab Initio is a major ETL tool you’ll use for building, validating, and optimizing data flows. Working knowledge of Ab Initio graphs, components, and performance tuning is essential.
What kind of SQL tasks will I perform?
You’ll write complex SQL queries for data extraction, aggregation, and optimization in data warehouses. Expect to debug query issues and tune performance regularly.
What is the selection process like?
Candidates go through resume screening, technical and analytical assessments, multiple technical interviews, and an HR round. Assessments typically include SQL and data engineering scenarios.
What interview topics should I prepare for?
Interviews often include SQL query writing, ETL pipeline design, data modeling, and Ab Initio graph components. You may also face scenario-based questions around data consistency and integration.
How tough are the technical interviews?
They are assessed as moderate, with technical depth into ETL frameworks, SQL tuning, and data modeling. Providing clear, structured responses and real-world examples makes a strong impression.
How long does the hiring process take?
From application to offer, it can take 1–2 weeks, varying based on the volume of applicants and scheduling. IBM aims to provide timely feedback at each stage.
Will I receive training after joining?
Yes, IBM provides onboarding and hands-on training in Ab Initio, ETL best practices, and data integration methodologies. Continued learning is supported by internal programs and certifications.
Is travel required for this role?
Up to 20% travel may be required for client visits or team collaboration. This usually involves occasional day trips to meet project needs.
What skills will make me stand out from other candidates?
Strong problem-solving ability, SQL optimization, ETL architecture understanding, and familiarity with Ab Initio are key differentiators. Highlighting cloud and big data experience boosts your profile.
What behavioral traits does IBM look for?
IBM values collaboration, adaptability, and accountability in its teams. Prepare to share real examples showing teamwork, learning agility, and innovation in data projects
Conclusion
IBM Data Engineer Jobs are a powerful launchpad for fresh graduates eager to grow in data integration, analytics, and ETL technologies. With hands-on exposure to tools like Ab Initio, SQL, and cloud platforms, candidates gain real-world skills in a collaborative setting. The hybrid work model ensures flexibility while maintaining access to IBM’s global expertise. Continuous learning, inclusive culture, and innovation are at the heart of this role. If you’re ready to shape the future with data, apply now and join IBM’s mission-driven team.