IBM

Data Engineer

Job · Full-timeHybridNoida, Uttar Pradesh0–3 years5 openingsImmediate / Rolling

About this role

Build your career at IBM in Noida as a Data Engineer. This full-time position is designed for candidates ready to building reliable data pipelines and warehouses at scale, with real responsibility from day one and support to keep growing your skills. About the Role As a Data Engineer, your…

Skills you'll use

PythonSQLETLData PipelinesSparkAirflowData WarehousingCloud (AWS/GCP/Azure)Data ModellingProblem Solving

What you'll do

Design and build ETL / data pipelines
Model and warehouse data for analytics
Ensure data quality, reliability and lineage
Optimise pipeline performance and cost
Support analysts and data scientists
Document work clearly and act on feedback

Who can apply

Early-career professionals and strong freshers interested in a Data Engineer role
Candidates with foundations in Python, SQL, ETL, Data Pipelines
Applicants based in or willing to relocate to Noida
Graduates seeking a full-time Data Science career
Motivated individuals who take ownership and learn fast

Perks & benefits

Competitive salary and performance incentivesHealth insurance and employee benefitsStructured onboarding and mentorshipLearning & certification supportClear career growth and internal mobilityModern tools and a collaborative culture

Interview & selection process

3 rounds — typical selection flow for this role:

1Resume & profile screening by IBM's recruitment team.
2Practical / case round relevant to the Data Engineer role.
3Final discussion with the hiring manager on your approach, learnings and fit.

About IBM

About IBM IBM is a leading global technology and consulting company providing hybrid cloud, AI, consulting and infrastructure services, with large India operations across Bengaluru, Pune and Hyderabad. Products & Services IBM works within the Technology & Consulting space, serving its clients and…

Visit IBM’s official website ↗

Apply Now Find jobs at IBM

Searching for “IBM jobs” or “jobs at IBM”? You’re in the right place.