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August 25, 2026
Published on: 24 August 2026
ZS is hiring for the Associate Platform Services – Data Engineer role in India. The position is suitable for candidates with a Bachelor’s or Master’s degree and around 1+ years of relevant experience. The role involves data engineering, ETL pipelines, SQL, data warehousing, data modelling, analytics, and cloud technologies.
| Particulars | Details |
|---|---|
| Company | ZS |
| Job Role | Associate Platform Services – Data Engineer |
| Qualification | Bachelor’s / Master’s Degree |
| Experience | 1+ Years |
| Job Location | Pune, Gurugram |
| Job Type | Full-Time |
| Skills | SQL, ETL, Data Pipelines, Data Warehousing, Data Modelling |
Candidates should have:
Technical Skills:
The listed Data Engineer opportunity is available for candidates in:
ZS also has multiple other job opportunities across India.
Interested and eligible candidates can apply online through the official ZS careers portal.
Data Engineer – Pune/Gurugram:
Apply Online
Other ZS Jobs Across India:
View All ZS Jobs
The selection process may include:
ZS is a global professional services and technology company working in areas such as data analytics, technology, AI, digital solutions, and strategic consulting. The company serves clients across industries including healthcare, pharmaceuticals, technology, financial services, and consumer products.
Is the ZS Associate Platform Services – Data Engineer role open to freshers?
The listed position requires 1+ years of relevant experience, so candidates without relevant experience may not meet the stated eligibility requirements.
What is the experience required for the ZS Data Engineer job?
Candidates should have at least 1 year of relevant experience.
What is the qualification required?
Candidates with a Bachelor’s or Master’s degree can apply, subject to the specific job requirements.
Where is the ZS Data Engineer job located?
The listed opportunity is available in Pune and Gurugram.
What skills are required for this role?
Key skills include SQL, ETL, data pipelines, data modelling, data warehousing, analytics, and cloud technologies.
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