🚨 Join IBM as a Data Engineer – Data Integration | Hybrid Role | Pune, Maharashtra | Early Professionals Welcome
Are you ready to turn complex datasets into compelling business solutions? Step into a career-defining opportunity with IBM, where innovation meets purpose. Apply now to become a part of one of the world’s most influential technology giants.
Job Summary
Job Title: Data Engineer – Data Integration
Job ID: 32590
Location: Pune, Maharashtra, India
Work Arrangement: Hybrid (On-site & Remote)
Department: Software Engineering
Employment Type: Fixed Term
Position Level: Entry-Level / Early Professional
Company: IBM India Pvt Ltd
Shift: General (Daytime)
Travel Requirement: Up to 20% or 1 day per week
Compensation: As per company standards
Application Mode: Online – Apply now
Job Introduction
Join IBM’s prestigious Consulting Client Innovation Centers (Delivery Centers) where technology meets deep industry expertise. Work with a diverse range of public and private sector clients across the globe and contribute to solutions that impact lives and industries.
In this role, you will be part of a dynamic and forward-thinking team that leverages data to drive transformation, optimize operations, and spark innovation. With access to world-class resources and ongoing mentorship, IBM is the perfect launchpad for your career in data engineering.
🎯 Roles and Responsibilities
As a Data Engineer – Data Integration, you will be entrusted with transforming data into meaningful insight, collaborating cross-functionally, and working on real-world projects that matter.
Key responsibilities include:
• Designing and implementing scalable data warehouse solutions on Snowflake, including schema design and query optimization.
• Developing ETL pipelines using Talend to ingest, cleanse, and transform data from structured and unstructured sources.
• Integrating cloud platform data into Snowflake using native tools and Talend workflows.
• Applying dimensional and relational data modeling techniques to support data analytics and reporting.
• Designing and implementing enterprise search solutions such as Elasticsearch and Splunk based on business needs.
• Collaborating in Agile teams with engineers, consultants, data scientists, and DBAs to solve business challenges using statistical methods and predictive modeling.
• Writing robust code to automate data validation, cleansing, and governance within ETL processes.
• Building reusable programs to integrate data efficiently for large-scale business analytics.
• Participating in performance tuning and workload optimization strategies for Snowflake databases.
🎓 Education Requirements Required:
Bachelor’s Degree in Computer Science, Engineering, Information Technology, or related field.
Preferred:
• Master’s Degree in Data Science, Software Engineering, or a similar specialization.
Required Technical Skills
• Proficiency in designing and building data warehouses on Snowflake.
• Strong command of Talend for ETL development.
• Skilled in data integration from cloud platforms using Snowflake native tools.
• Solid understanding of dimensional and relational data modeling.
• Hands-on with SQL, Shell scripting, and custom automation processes.
Preferred Technical Skills
• Knowledge of Snowflake optimization techniques, including clustering keys and caching strategies.
• Experience with data quality frameworks and validation pipelines.
• Ability to profile, cleanse, and transform high-volume datasets in an automated and reusable fashion.
• Understanding of Agile methodologies, DevOps principles, and CI/CD pipelines.
About IBM Consulting
IBM Consulting is a leader in business and technology transformation, offering strategy, experience design, technology, and operations services to top enterprises worldwide. We’re a trusted digital transformation partner with a global reach and a client-first mindset.
We operate at the intersection of technology, people, and process and believe that when used responsibly, technology has the power to drive sustainable progress for business and society.
Life at IBM
Being an IBMer means embracing continuous learning, curiosity, and innovation. We encourage our team members to:
Take bold risks in a safe environment
Explore new tools and techniques
Receive and provide constructive feedback
Work collaboratively across functions and cultures
Focus on growth, inclusion, and mutual respect
Whether you're from a technical or non-technical background, IBM fosters a culture of experimentation, empowerment, and empathy.
About IBM – A Global Technology Innovator
Founded in 1911, IBM has continuously reinvented itself for over a century, making landmark contributions in computing, artificial intelligence, blockchain, and quantum technologies.
With clients spanning 170+ countries, IBM’s cloud platform is the backbone of many Fortune 50 enterprises. At the heart of this transformation is our belief in "technology for good", and it all starts with the people the IBMers who make it happen.
Why Trust IBM and This Role?
Expertise:
• Global leader in hybrid cloud, AI, quantum computing
• Fortune 50 clientele & R&D-led innovation
• Dedicated learning portals, mentorship & certification programs
Authoritativeness:
• 110+ years of industry leadership
• Strategic partnerships with top firms like SAP, AWS, Salesforce
• IBM Watson – World-renowned AI platform
Trustworthiness:
• Committed to diversity, equity, and inclusion
• Recognized as a Best Place to Work globally
• Ethical AI, sustainable practices & data protection policies
Ready to Become an IBMer ?
Don’t miss this opportunity to work with the pioneers of modern computing and shape the digital future through the power of data.
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📌 FAQs: Frequently Asked Questions
1. Is this a permanent position?
No, this is a fixed-term position suitable for entry-level professionals looking to launch a career in data engineering.
2. Can fresh graduates apply?
Yes. IBM welcomes early professionals with foundational knowledge in data engineering concepts.
3. Is relocation necessary?
The job is based in Pune with a hybrid model (on-site + remote), offering flexibility. You may be required to be on-site depending on project needs.
4. What are the growth opportunities?
IBM offers a clear career path, certifications, and mentorships to help you grow into senior data roles or transition into data science, architecture, or AI engineering.
5. Is prior experience with Snowflake or Talend mandatory?
While preferred, candidates with strong foundational data skills and a willingness to learn Talend/Snowflake will also be considered.
6. Are there learning opportunities at IBM?
Yes, IBM has a vast range of learning resources, including internal bootcamps, learning portals, technical webinars, and paid certifications.
Equal Opportunity Employer:
IBM is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, age, disability, race, religion, sexual orientation, or background.
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