ZS Recruitment 2026

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1–2 Years1 day ago

Experience1–2 Years

QualificationBachelor’s / Master’s Degree

Key Responsibilities

The role also includes supporting project and program leads with activities such as:
Risk management.
Status reporting.
Task tracking.
Client communication.
This makes the position broader than a purely technical data-engineering role.

Associate – Platform Services / Data Engineer:
Bachelor’s or Master’s degree specializing in Computer Science, MIS, Information Technology, or a related discipline.
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.
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, and performance optimization.
Experience designing and delivering data products for analytics and reporting.
Exposure to AWS/Azure and big-data or ETL tools such as Hadoop, Spark/PySpark, Informatica, Talend, or SSIS.
Strong analytical, problem-solving, and communication skills.
Fluency in English.
Client-first mentality and collaborative approach.
Engineers will translate business requirements into technical designs, data models, and implementation plans.
This requires the ability to understand what the business needs, determine which data is required, design an appropriate data structure, and identify how the pipeline should process the information.

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