Here’s the important information from the job posting, stripped of the corporate poetry about “reinvention,” because apparently a job description cannot simply say what you’ll actually do.
| Detail | Information |
|---|---|
| Company | ZS |
| Role | Associate – Platform Services: Data Engineer |
| Job ID | 62377 |
| Locations | Pune, India / Gurgaon, India |
| Business Area | Platforms and Products |
| Function | Platform Professional Services |
| Work Model | Hybrid |
| Experience | 1–2 years relevant development experience |
| Education | Bachelor’s or Master’s |
| Primary Skills | ETL, SQL, Python, Data Modeling, Data Warehousing |
| Cloud | AWS / Azure exposure |
| Big Data / ETL | Hadoop, Spark/PySpark, Informatica, Talend, SSIS |
| Domain Preference | Pharma / Life Sciences |
| Travel | May be required for client-facing work |
What you’ll actually work on
The role is focused on building analytics-ready and Agentic AI-ready data products on the ZAIDYN platform.
Your responsibilities include:
- Building and configuring data pipelines
- Developing ETL workflows
- Extracting, validating, transforming and loading data
- Applying business rules for data quality
- Creating and calculating KPIs
- Designing data models
- Building analytics-ready data products
- Preparing structured data products for Agentic AI
- Working with cloud technologies
- Testing and deploying solutions
- Translating business requirements into technical designs
- Working with BI, analytics, data engineering and platform teams
- Following Agile, version control, code review and documentation practices
- Communicating with clients and global teams
Required technical skills
Must-have
SQL
- Data transformation
- Data validation
- Performance tuning
Python
- Data processing
- Automation
- Transformation logic
ETL
- Building and maintaining pipelines
- Extraction
- Transformation
- Validation
- Loading
Data Modeling
- Conceptual models
- Logical models
- Physical models
Data Warehousing
- Dimensional modeling
- Fact and dimension tables
- Performance optimization
Good to have
- AWS
- Azure
- Hadoop
- Spark / PySpark
- Informatica
- Talend
- SSIS
Eligibility
The posting asks for:
- Bachelor’s or Master’s degree
- Computer Science, MIS, Information Technology or related specialization
- 1–2 years of relevant development experience
- Strong ETL experience
- Strong SQL
- Hands-on Python
- Data modeling knowledge
- Data warehousing knowledge
- Strong analytical/problem-solving skills
- Good communication skills
- English fluency
- Ability to work with global teams
Candidates must also possess or be able to obtain work authorization for their intended country of employment.
An online application with a full set of transcripts, official or unofficial, is required.
Important for freshers
This is not primarily a fresher role based on the stated requirements.
The posting specifically asks for 1–2 years of relevant development experience, preferably involving medium-to-large technology solution delivery.
So if you’re a fresher, this is a weaker match unless your project/internship experience is substantial enough to demonstrate the required development and data-engineering capabilities. Job portals love throwing “Associate” at people and making everyone assume it means fresher. Humanity survives another day.
Best candidate profile
A strong candidate would look something like:
B.Tech/B.E./M.Tech/MCA → 1–2 years experience → SQL + Python + ETL → Data Warehousing → Data Modeling → Cloud → Spark/PySpark
The strongest resume keywords from this posting are:
Data Engineer, ETL, SQL, Python, Data Pipeline, Data Warehousing, Data Modeling, Dimensional Modeling, AWS, Azure, Spark, PySpark, Hadoop, Informatica, Talend, SSIS, KPI, Data Products, Analytics, ZAIDYN, Agile
Application
Bottom line: This is a solid early-career Data Engineering role for someone with roughly 1–2 years of hands-on experience. The biggest technical focus is clearly ETL + SQL + Python + data modeling/data warehousing, with cloud and big-data technologies strengthening the profile.