IBM Hiring: Data Engineer – Hyderabad, Pune (Hybrid) | Apply Now

Introduction

IBM is inviting applications for the position of Data Engineer – Data Integration in Hyderabad and Pune, India. This opportunity is ideal for experienced professionals who want to build a rewarding career with one of the world’s most recognized technology and consulting companies. IBM has consistently been at the forefront of innovation, helping organizations transform their businesses through advanced technologies such as artificial intelligence, cloud computing, automation, and data analytics.

Candidates interested in IBM Data Engineer Jobs can take advantage of this excellent opportunity to work on enterprise-level projects involving data integration, ETL development, business intelligence, and cloud-based solutions. The company is looking for professionals who can design, develop, and maintain robust data pipelines while ensuring seamless data movement across multiple systems and platforms.

As part of IBM Consulting, selected candidates will collaborate with global teams and clients to solve complex business challenges using modern data engineering practices. Professionals with expertise in Informatica, DataStage, Ab Initio, SQL, and data warehousing concepts are encouraged to apply. IBM offers a dynamic work environment, continuous learning opportunities, and exposure to cutting-edge technologies, making it an attractive destination for experienced data professionals.

Job Overview

Field	Details
Company	IBM
Role	Data Engineer-Data Integration
Location	Hyderabad, Pune
Qualification	Bachelor’s Degree
Experience	5–7 Years
Salary	Best in Industry
Employment Type	Fixed Term
Work Mode	Hybrid
Batch	Any Batch
Job ID	121279

About IBM Data Engineer Jobs

IBM Data Engineer Jobs provide professionals with the opportunity to contribute to large-scale digital transformation initiatives across various industries. IBM Consulting works closely with organizations worldwide to modernize their data infrastructure, improve operational efficiency, and unlock valuable business insights through advanced analytics and data-driven decision-making.

In this role, candidates will be responsible for designing and implementing data integration solutions that support business intelligence and reporting requirements. The position involves working with enterprise data systems, integrating information from multiple sources, and ensuring data accuracy and reliability throughout the process.

The Data Engineer – Data Integration role is particularly suitable for professionals who enjoy solving complex data challenges, optimizing data workflows, and building scalable solutions that support organizational growth. Candidates can expect a challenging yet rewarding work environment where creativity, technical expertise, and collaboration are highly valued.

Roles and Responsibilities

The selected candidates will be expected to perform a variety of responsibilities related to data integration and engineering.

Key responsibilities include:

• Design and develop enterprise-level data integration solutions.

• Build and maintain ETL workflows using Informatica, DataStage, Ab Initio, and similar tools.

• Extract, transform, and load data from multiple operational systems into business intelligence platforms.

• Develop scalable and efficient data pipelines for analytics and reporting purposes.

• Perform data cleansing, transformation, and validation activities.

• Ensure smooth and reliable data movement across applications and databases.

• Collaborate with business stakeholders to gather and understand requirements.

• Support data migration and modernization projects.

• Monitor ETL jobs and troubleshoot performance or integration issues.

• Maintain technical documentation and follow data governance standards.

• Optimize data processing workflows for improved efficiency.

• Participate in business intelligence and analytics initiatives.

• Ensure data quality and consistency across systems.

• Work closely with cross-functional teams to deliver project objectives on time.

Required Skills

Technical Skills

Candidates applying for IBM Data Engineer Jobs should possess strong technical expertise in the following areas:

• Hands-on experience with Informatica development.

• Knowledge of IBM DataStage and ETL processes.

• Familiarity with Ab Initio software and related technologies.

• Strong understanding of ETL design and implementation.

• Experience with data warehousing concepts and methodologies.

• Proficiency in SQL and database management systems.

• Knowledge of data mapping and transformation techniques.

• Understanding of data quality management and validation processes.

• Experience supporting business intelligence environments.

• Ability to develop and maintain data pipelines.

• Familiarity with enterprise data integration frameworks.

• Understanding of analytics and reporting systems.

Soft Skills

In addition to technical expertise, candidates should demonstrate the following professional skills:

• Strong analytical and critical thinking abilities.

• Excellent verbal and written communication skills.

• Effective problem-solving capabilities.

• Ability to work collaboratively within teams.

• Strong organizational and time management skills.

• Adaptability to changing technologies and business requirements.

• Client-focused mindset with attention to detail.

• Ability to manage multiple priorities simultaneously.

• Commitment to continuous learning and professional growth.

Eligibility Criteria for IBM Data Engineer Jobs

• Bachelor’s Degree from a recognized institution is mandatory.

• Master’s Degree is preferred but not compulsory.

• Minimum 5–7 years of relevant professional experience.

• Proven experience in ETL development and data integration projects.

• Knowledge of Informatica, DataStage, Ab Initio, or similar ETL tools.

• Understanding of business intelligence and analytics environments.

• Experience working with enterprise-scale data solutions.

• Strong communication and stakeholder management skills.

• Ability to work effectively in a hybrid work environment.

• Willingness to travel up to 20% if required by project needs.

Preferred Skills

While not mandatory, the following skills can provide an advantage during the selection process:

• Experience with additional data integration platforms.

• Advanced ETL architecture and development expertise.

• Knowledge of enterprise data architecture frameworks.

• Exposure to cloud-based data engineering solutions.

• Experience supporting analytics and reporting platforms.

• Understanding of hybrid cloud technologies.

• Performance tuning and optimization experience.

• Familiarity with data governance and compliance standards.

• Ability to quickly learn and adapt to new technologies.

• Experience working in consulting or client-facing environments.

Salary and Benefits

IBM offers a competitive compensation package along with several employee benefits designed to support professional and personal growth. Benefits may include:

• Attractive salary package based on experience and skills.

• Hybrid work flexibility.

• Opportunities to work with global clients and teams.

• Access to learning platforms and certification programs.

• Career development and advancement opportunities.

• Professional mentorship and training initiatives.

• Inclusive and diverse workplace culture.

• Exposure to emerging technologies and innovative projects.

• Employee wellness and support programs.

• Opportunities to work on AI, cloud, and data-driven solutions.

• Recognition programs for outstanding performance.

Why Apply for IBM Data Engineer Jobs

IBM is widely recognized as one of the most respected technology companies in the world. Joining IBM provides professionals with access to exciting projects, advanced technologies, and a collaborative work environment that encourages innovation and growth.

Employees have the opportunity to work on large-scale enterprise initiatives involving cloud computing, artificial intelligence, analytics, and digital transformation. IBM invests heavily in employee development through training programs, certifications, mentorship opportunities, and continuous learning resources.

The company promotes a culture of curiosity and innovation, encouraging employees to explore new ideas and develop creative solutions to business challenges. Professionals who join IBM can enhance their technical expertise, expand their professional network, and build a successful long-term career in data engineering and consulting.

Selection Process

The IBM recruitment process generally consists of the following stages:

1. Online Application Submission

2. Resume Screening

3. Technical Assessment (if applicable)

4. Technical Interview Rounds

5. Managerial Discussion

6. HR Interview

7. Offer Release

8. Background Verification

9. Final Onboarding

Candidates who successfully clear each stage will receive further communication regarding the next steps in the hiring process.

Important Dates

Event	Date
Application Start Date	Already Open
Last Date to Apply	Not Mentioned

Applicants are encouraged to apply as early as possible since positions may be filled before a formal closing date is announced.

How to Apply

Candidates can use the application link provided below to submit their applications. Make sure to review the eligibility criteria and complete the application before the deadline.