Associate Platform Services - Data Engineer

ZS; Gurugram District, Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

ZS is seeking an Associate Data Engineer to build scalable data products on the ZAIDYN platform in Pune/Gurugram. You will develop ETL pipelines, transform and validate data, and deliver trusted datasets powering analytics, dashboards, and AI-driven solutions.

Ideal candidates have 1–2 years of data engineering experience, strong SQL/Python skills, and familiarity with cloud platforms like AWS or Azure, plus experience with Spark/PySpark, Hadoop, and ETL tools.

Qualifications

• Bachelor's or Master's in CS/IT/MIS or related field.
• 1–2 years in Data Engineering, ETL or Data Integration.
• Strong hands-on ETL development and data pipelines experience.
• Proficient in SQL and Python for data transformation and automation.
• Solid understanding of data modeling and data warehousing concepts.
• Experience building data products for analytics and reporting.
• Exposure to cloud platforms (AWS/Azure) and big data tools.

Responsibilities

• Design, build, test, and deploy scalable data solutions.
• Develop and maintain ETL pipelines for data ingestion, transformation, validation.
• Build analytics-ready data products for reporting, dashboards, and AI use cases.
• Design data models and implement business rules for data quality.
• Define and develop KPIs to support business analytics.
• Collaborate with cross-functional global teams in engineering, analytics, and BI.
• Follow Agile practices, code reviews, testing, documentation, and version control.
• Contribute to solution design, technical documentation, deployment planning, and continuous improvement.

Skills

SQL

Python

Data modeling

Data warehousing

ETL development

Big data

Agile

Education

Bachelor's degree in Computer Science/IT/MIS

Master's degree in related field

Tools

Spark/PySpark

Hadoop

Informatica

Talend

SSIS

AWS

Azure

Job description

Associate ZAIDYN Platform Professional Services | Data Engineer ( Pune/Gurugram)

About ZS

ZS is a global management consulting and technology firm transforming healthcare through data, AI, and digital innovation. Our AI-powered, cloud-native ZAIDYN platform helps life sciences organizations accelerate decision-making by bringing together data, analytics, and intelligent workflows.

Role Summary

As an Associate Data Engineer, you will develop scalable, analytics-ready data products on the ZAIDYN platform. You will build ETL pipelines, transform and validate data, implement business rules, and deliver trusted datasets that power analytics, reporting, and AI-driven solutions.

Key Responsibilities

• Design, build, test, and deploy scalable data solutions.
• Develop and maintain ETL pipelines for ingesting, transforming, and validating data.
• Build analytics-ready data products for reporting, dashboards, and AI use cases.
• Design data models and implement business rules to ensure data quality and consistency.
• Define and develop KPIs to support business analytics.
• Collaborate with cross-functional global teams including engineering, analytics, and BI.
• Follow best practices in Agile development, code reviews, testing, documentation, and version control.
• Contribute to solution design, technical documentation, deployment planning, and continuous improvement.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, MIS, or a related field.
• 1–2 years of experience in Data Engineering, ETL Development, or Data Integration.
• Strong hands-on experience with ETL development and data pipelines.
• Proficiency in SQL and Python for data transformation and automation.
• Good understanding of data modeling and data warehousing concepts (dimensional modeling, fact & dimension tables).
• Experience building data products for analytics and reporting.
• Exposure to cloud platforms (AWS/Azure) and big data or ETL technologies such as Spark/PySpark, Hadoop, Informatica, Talend, or SSIS.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience working in Agile development environments.
• Exposure to Pharma or Life Sciences projects is a plus.
• Strong ownership mindset with a passion for building scalable, high-quality data solutions.
• Eagerness to learn emerging technologies, AI, and cloud-native data platforms.