Data Engineer – Data Integration at IBM, Pune | Hybrid Role in Consulting & Analytics

Introduction

Join IBM — one of the most trusted and innovative global technology leaders — as a Data Engineer – Data Integration based in Pune, Maharashtra. In this dynamic entry-level role within IBM Consulting’s Client Innovation Center, you will be a key contributor to enterprise-level data solutions by designing, developing, and optimizing scalable data integration systems. You will work in a hybrid setup, collaborating closely with a multidisciplinary team that focuses on transforming public and private sector organizations through intelligent data handling and advanced analytics.

This is a fixed-term, full-time position that empowers you to explore the power of Big Data technologies, especially using Ab Initio tools, while delivering measurable business outcomes to some of the world’s top-tier clients.

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Why IBM?

For over a century, IBM has been a pioneer in technology innovation, helping enterprises evolve and adapt to ever-changing digital landscapes. With a deep legacy in cloud, AI, security, and consulting services, IBM is also home to one of the world’s largest and most diverse workforces. As an IBMer, you are part of a global mission — to create sustainable, responsible, and forward-thinking solutions that improve business and society.

Whether you’re looking to grow your technical skills or explore cross-domain expertise, IBM provides unmatched support, career pathways, mentorship, and global mobility options for your growth.

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Role Overview: Data Engineer – Data Integration

Job Title: Data Engineer – Data Integration
Location: Pune, Maharashtra, India
Employment Type: Fixed Term – Full Time
Experience Level: Entry Level (Early Professional)
Department: Consulting – Data & Analytics
Shift: General Daytime
Work Arrangement: Hybrid (On-Site + Remote)
Travel Requirement: Up to 20% or 1 day/week
Job ID: 24935
Company: IBM India Private Limited

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Your Role and Responsibilities

As a Big Data Engineer, your mission will be to deliver robust, efficient, and optimized ETL (Extract, Transform, Load) pipelines tailored to the complex needs of IBM’s enterprise clients. You will participate in the complete data lifecycle — from design to deployment — and ensure the seamless integration of structured and unstructured data from multiple sources into scalable data platforms.

Key Responsibilities:

✅ Data Pipeline Development

• Design and develop robust data pipelines using Ab Initio to extract, transform, and load data from varied sources to target systems.

• Implement scalable, modular, and reusable ETL solutions for real-time and batch data processing.

✅ Data Quality and Validation

• Integrate data quality rules and perform data cleansing and validation within the ETL workflows.

• Ensure that data integrity is maintained across all stages of the data pipeline.

✅ Performance Optimization

• Monitor and optimize ETL jobs, enhancing processing speed and minimizing resource consumption.

• Troubleshoot data bottlenecks, inefficient transformations, and large-volume data issues.

✅ Modeling and Analysis

• Analyze business requirements to create optimized data models for reporting, analytics, and integration.

• Conduct data profiling and transformation logic development in alignment with business rules.

✅ Collaboration and Review

• Work closely with data architects, analysts, and solution designers to interpret technical requirements and deliver impactful solutions.

• Participate in design/code reviews, offering inputs to refine architectures and improve technical delivery.

✅ Documentation and Reporting

• Maintain comprehensive documentation for data structures, mappings, ETL logic, and processing guidelines.

• Prepare progress reports and system logs for internal teams and client presentations.

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Required Skills and Qualifications

🎓 Educational Qualifications:

• Required: Bachelor’s Degree in Computer Science, Engineering, Information Systems, or equivalent.

• Preferred: Master’s Degree in Data Science, Engineering, or Business Analytics.

🛠 Technical Expertise:

• Minimum 1–3 years of experience in data engineering roles using Ab Initio.

• Proficient in designing ETL jobs, especially using:

  • Transform Functions

  • Join

  • Rollup

  • Normalize

• Practical knowledge of data quality frameworks, data warehousing principles, and data modeling.

• Familiarity with data governance and security principles.

• Understanding of relational databases (RDBMS) and SQL scripting.

🤝 Professional Skills:

• Strong analytical, logical, and problem-solving abilities.

• Excellent verbal and written communication to interface with technical and non-technical stakeholders.

• Demonstrated ability to work in agile environments, with a focus on collaboration and iteration.

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Preferred Skills and Experience

• Proficiency in performance tuning of Ab Initio ETL processes.

• Exposure to cloud data platforms like AWS Redshift, Azure Data Factory, or Google BigQuery.

• Familiarity with Git, JIRA, and CI/CD pipelines for continuous deployment and version control.

• Prior experience in participating in cross-functional project teams, including data scientists, QA engineers, and business stakeholders.

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About IBM Consulting

IBM Consulting is the business and technology transformation arm of IBM. With market-leading capabilities in strategy, digital design, data science, cloud modernization, and operations, IBM Consulting partners with Fortune 500 companies and innovative startups alike. Through local delivery centers and global delivery models, IBM offers agile, scalable, and industry-focused solutions that create lasting business impact.

In India, IBM Consulting is one of the largest employers for technology consulting professionals, known for driving some of the country’s most transformative digital initiatives across sectors like banking, telecom, healthcare, and government.

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Life @ IBM

Working at IBM is about more than just a job — it’s about growth, purpose, and community. Here’s what it’s like to be an IBMer:

🌱 Continuous Learning:

You’ll be supported with world-class learning platforms, technical certifications, mentoring programs, and knowledge exchanges to keep your skills future-ready.

🌎 Diversity and Inclusion:

IBM embraces a culture of inclusion, equity, and belonging. The organization celebrates diverse voices and believes every perspective contributes to innovation.

🛡️ Ethics and Responsibility:

IBM adheres to the highest standards of corporate responsibility, data ethics, and sustainable development. You will be part of a workforce that uses technology responsibly for the benefit of society.

👥 Collaboration and Feedback:

Work in a team-oriented environment where transparency, trust, and open feedback are part of the DNA.

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About IBM

Founded in 1911, IBM has continuously led the digital revolution with inventions like the first mainframe, the personal computer, Watson AI, and quantum computing systems. Today, IBM is a global powerhouse in hybrid cloud, AI, cybersecurity, and consulting services, with clients that include 90% of the world’s largest banks and hundreds of government institutions.

At IBM, the real innovation lies in its people — the IBMers — who push boundaries, solve tough challenges, and believe in building a better future with the power of technology.

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Equal Opportunity and Ethical Employment

IBM is an equal opportunity employer that celebrates diversity and prohibits discrimination of any kind. All qualified applicants are considered for employment without regard to race, religion, gender, disability, neurodivergence, age, or any legally protected status.

IBM is also committed to complying with immigration, employment, and workplace safety laws, ensuring a fair and secure environment for all employees.

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Application Tips

• Apply only to three roles per year that align with your skills for an optimal candidate experience.

• Ensure your resume highlights data engineering projects, ETL tool proficiency, and your role in collaborative team environments.

• Be ready to discuss performance tuning, data modeling, and data quality measures during interviews.

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Summary Snapshot

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Final Thoughts

The role of Data Engineer – Data Integration at IBM’s Pune location presents a unique opportunity to work on cutting-edge data projects that drive transformation for global clients. Whether you’re passionate about building data pipelines, optimizing ETL workflows, or solving large-scale data challenges, this position will stretch your capabilities and advance your career in data engineering.

Are you ready to innovate, collaborate, and grow with one of the most iconic names in tech?

Apply now and become a part of IBM’s journey to reinvent how the world works with data.