ZS Data Engineer is a strong opportunity for professionals looking to build their careers in data engineering, ETL, cloud technologies, analytics, and modern AI-ready data solutions. ZS is hiring for the Associate – Platform Services / Data Engineer position in Pune and Gurgaon, India.
The role focuses on developing scalable data pipelines and analytics-ready data products on the ZAIDYN platform. Candidates will work with technologies such as SQL, Python, ETL, data warehousing, cloud platforms, and big-data tools while collaborating with global engineering, analytics, and business teams.
ZS Data Engineer – Job Overview
| Job Details | Information |
|---|---|
| Company | ZS |
| Job Role | Associate – Platform Services / Data Engineer |
| Position | Associate |
| Job ID | 62377 |
| Experience | 1–2 years |
| Location | Pune / Gurgaon, India |
| Work Model | Hybrid |
| Education | Bachelor’s / Master’s degree |
| Required Skills | ETL, SQL, Python, Data Engineering |
| Platform | ZAIDYN |
| Domain | Platforms and Products |
| Employment | Full-time |
| Travel | May be required for client-facing projects |
About the ZS Data Engineer Role
The ZS Data Engineer position is designed for professionals who already have a foundation in software or data development and want to work on large-scale technology solutions.
As an Associate – Platform Services, you will work on the ZAIDYN platform, developing scalable data products that can support business intelligence, analytics, reporting, and emerging Agentic AI applications.
The role goes beyond simply writing SQL queries. You may be involved in the complete delivery lifecycle, including understanding requirements, designing solutions, developing pipelines, testing, deployment, documentation, and production support.
What Does a ZS Data Engineer Do?
A ZS Data Engineer works at the intersection of technology, data, and business requirements.
The major responsibilities include:
- Developing data engineering solutions for clients
- Building and configuring ZAIDYN data pipelines
- Designing ETL workflows
- Extracting, validating, transforming, and loading data
- Applying business rules to improve data quality
- Creating data models for analytics and reporting
- Defining and calculating business KPIs
- Developing analytics-ready data products
- Preparing data products that can support Agentic AI use cases
- Working with cloud and big-data technologies
- Testing and deploying data solutions
- Collaborating with BI developers, analysts, engineers, and project leads
- Participating in code reviews and Agile development
- Preparing technical documentation and test cases
- Supporting project planning and delivery
- Communicating with internal and client stakeholders
This makes the ZS Data Engineer role suitable for candidates who enjoy both technical development and solving business problems with data.
Is ZS Data Engineer Suitable for Freshers?
The ZS Data Engineer position is not primarily a fresher role.
The job description asks for 1–2 years of relevant development experience, particularly experience involving ETL and data engineering.
Candidates with internships, academic projects, or very limited experience should carefully compare their background with the specific requirements before applying. Professionals with around 1–2 years of relevant experience are the primary target for this position.
ZS Data Engineer – Work Environment
The position follows a hybrid working model. ZS describes its approach as combining work from home with on-site presence at ZS offices or client locations.
For client-facing employees, travel may also be required depending on project and business needs.
This means candidates should be comfortable collaborating with teams across locations and, when required, working with clients in different environments.
Career Growth at ZS
One of the attractive aspects of the ZS Data Engineer opportunity is the focus on professional development.
ZS highlights several growth opportunities, including:
- Cross-functional skill development
- Customized learning pathways
- Milestone-based training programs
- Career progression opportunities
- Internal mobility
- Role expansion opportunities
For a data professional, this can provide opportunities to develop beyond traditional ETL development into areas such as cloud engineering, analytics, data architecture, platform engineering, or AI-focused data solutions.
Why This ZS Data Engineer Opportunity Stands Out
The role combines several areas that are increasingly important in modern technology teams:
Data Engineering + Cloud + Analytics + Data Products + Agentic AI
Instead of working only on backend data pipelines, the ZS Data Engineer can contribute to data products that ultimately support analytics, business intelligence, and intelligent automation.
The exposure to ZAIDYN, cloud technologies, data warehousing, Python, SQL, and modern data engineering practices can make this a valuable opportunity for professionals building a long-term career in the data field.
How to Prepare for ZS Data Engineer
Before applying, candidates should revise the following areas:
SQL
Practice joins, subqueries, CTEs, window functions, aggregations, data validation, and query optimization.
Python
Revise Python fundamentals, data processing, functions, file handling, and automation.
ETL
Understand complete ETL workflows and common data transformation techniques.
Data Warehousing
Review fact and dimension tables, star schema, snowflake schema, and dimensional modeling.
Cloud
Have a basic understanding of AWS or Azure services related to data engineering.
Data Engineering Projects
Be ready to explain at least one project involving data ingestion, transformation, databases, dashboards, or pipelines.
Communication
Since the role involves global teams and potentially clients, practice explaining technical concepts in simple and clear language.
Final Words
The ZS Data Engineer opportunity is a strong option for professionals with 1–2 years of experience who want to move deeper into data engineering and modern analytics platforms.
With hands-on work involving ETL, SQL, Python, data warehousing, cloud technologies, data products, and ZAIDYN, the position provides exposure to several important areas of today’s data ecosystem.
If your background matches the requirements and you’re looking for a role that combines data engineering with analytics and emerging AI-ready solutions, the ZS Data Engineer position in Pune or Gurgaon could be worth considering.
