Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
In this role, you'll work in one of our
IBM Consulting FutureNow Centers
, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize various tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: • Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage. • Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. • Utilize Data Integration Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions. • Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing efficient ETL processes. • Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
• Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage, with the ability to apply this knowledge to design and build data integration solutions. • Experience with ETL Processes: Understanding of Extract, Transform, and Load (ETL) processes, with the ability to develop and implement these processes to ensure seamless data flow. • Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment. • Data Flow Management: Experience working with data flows, with the ability to ensure the smooth flow of data throughout the business intelligence solution's lifecycle. • Business Intelligence Support: Exposure to supporting business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments.
Preferred technical and professional experience
• Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage, with the ability to quickly learn and apply new tools to design and build data integration solutions. • Advanced ETL Process Development: Experience with complex ETL process development, including data mapping, data transformation, and data quality checks, to ensure seamless data flow throughout the business intelligence solution's lifecycle. • Business Intelligence Environment Knowledge: Exposure to various business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments to support business intelligence initiatives.
Years of Experience:
6 - 7
ABOUT BUSINESS UNIT
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.
Job Title
Data Engineer-Data Integration
Job ID
119111
City / Township / Village
Pune, Bangalore
State / Province
Maharashtra, Karnataka
Country
India
Work arrangement
Hybrid
Area of work
Software Engineering
Employment type
Fixed Term (Fixed Term)
Position type
Professional
Travel required
Up to 20% or 1 day a week
Company
(0063) IBM India Private Limited
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
No
Apply now
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