ZS
ZS

ZS Recruitment 2026 | Associate Platform Services – Data Engineer | Pune & Gurgaon

onsite
Pune, Gurgaon
Posted 8/24/2026
Exp: 1-2y

Job Overview

Role: Associate – Platform Services / Data Engineer Location: Pune / Gurgaon Experience: 1–2 Years Qualification: Bachelor's / Master's Degree (Computer Science, MIS, Information Technology, or related) Key Skills: ETL, SQL, Python, Data Modeling, Data Warehousing, Analytics-Ready Data Products, Agentic AI-Ready Data Products, Cloud Platforms

Job Description

ZS is hiring for the position of Associate – Platform Services / Data Engineer in Pune and Gurgaon. This role focuses on developing scalable, analytics-ready, and Agentic AI-ready data products on the ZAIDYN platform. Candidates will work on ETL pipelines, SQL-based data transformation, Python scripting, data modeling, data warehousing, KPI development, analytics data products, and cloud technologies. The position is suitable for early-career data engineers who have hands-on development-project experience and want to work at the intersection of data engineering, analytics, cloud platforms, and AI-ready data infrastructure.

Roles and Responsibilities

  • ZAIDYN Platform: Configure and develop solutions on the ZAIDYN platform to create scalable data products and pipelines for analytics and AI use cases.
  • ETL Development: Build and maintain pipelines that perform data extraction, validation, transformation, loading, and data-quality checks.
  • SQL and Data Transformation: Utilize SQL for data transformation, validation, troubleshooting, and performance tuning (SELECT, JOINs, Subqueries, CTEs, Window functions, GROUP BY, aggregations, data validation, query optimization).
  • Python for Data Engineering: Apply Python scripting for data processing, automation, transformation logic, and pipeline utilities, focusing on functions, modules, file handling, data structures, exception handling, APIs, and data processing libraries.
  • Data Modeling: Develop conceptual, logical, and physical data models to define how information is represented, related, stored, and accessed.
  • Data Warehousing: Implement strong knowledge of dimensional modeling, fact tables, dimension tables, star/snowflake schemas, measures, dimensions, surrogate keys, historical data handling, and performance optimization.
  • Analytics-Ready Data Products: Deliver reliable, well-structured, and documented analytics-ready data products for BI, reporting, and analytical models.
  • Agentic AI-Ready Data Products: Structure data with useful features, metadata, and documentation to enable AI systems and intelligent automation to work with trusted enterprise information.
  • Business Rules and Data Quality: Apply business rules to ensure data quality, consistency, and alignment with business definitions (completeness, accuracy, consistency, validity, uniqueness, timeliness).
  • KPI Development: Define and compute Key Performance Indicators (KPIs).
  • End-to-End Delivery to Technical Design: Translate business requirements into data models, pipelines, KPIs, and technical implementation plans.
  • Agile, Version Control and Code Reviews: Work within an Agile framework, use version control, and participate in code reviews.
  • Global Team Collaboration: Collaborate effectively within global teams.
  • Client and Project Responsibilities: Manage client and project responsibilities.
  • Mentoring and Coordination: Engage in mentoring and coordination activities.

Skills and Eligibility Criteria

Educational Background: Bachelor's or Master's degree specializing in Computer Science, MIS, Information Technology, or a related discipline.

Experience: 1–2 years of relevant development experience. Experience working on medium- to large-scale technology solution delivery engagements is preferred. Experience in Pharma or Life Sciences organizations is preferred.

Mandatory Technical Skills:

  • Strong experience in ETL development and data-pipeline development.
  • Proficiency in SQL for data transformation, validation, and performance tuning.
  • Hands-on experience with Python scripting for data processing, automation, and transformation logic.
  • Understanding of conceptual, logical, and physical data modeling.
  • Strong knowledge of data warehousing (dimensional modeling, fact tables, dimension tables, performance optimization).
  • Experience designing and delivering data products for analytics and reporting.
  • Exposure to AWS/Azure and big-data or ETL tools (Hadoop, Spark/PySpark, Informatica, Talend, or SSIS).

Competencies:

  • Strong analytical, problem-solving, and communication skills.
  • Fluency in English.
  • Client-first mentality and collaborative approach.
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About the Company

ZS is a professional services firm that works with companies to help them improve their performance. With a focus on data science, advanced analytics, and technology, ZS partners with clients to tackle complex sales and marketing challenges. This role specifically highlights ZS's commitment to building scalable data products that support both traditional analytics and emerging AI-driven applications.