ZS | Data Engineer | Apply Now

Associate – Platform Services:

The Associate – ZAIDYN Platform Data Engineer configures and develops on the ZAIDYN platform to build scalable analytics-ready and Agentic AI–ready data products. You will design robust pipelines, apply business rules, define KPIs, and deliver trusted data that powers analytics and intelligent automation. Ideal candidates have hands-on development project experience and strong foundations in ETL, data warehousing, and data engineering best practices.

Job Description :-

What You’ll Do: 

• Develop complex solutions for clients using programming languages, ETL service platforms, cloud technologies, and other relevant tools.
• Own delivery across project phases (design, build, test, deploy). 
• Translate business requirements into technical designs, data models, and implementation plans. 
• Build and configure ZAIDYN pipelines to ingest, process, and transform data from multiple sources. 
• Implement ETL workflows for extraction, validation, transformation, and loading using platform and cloud-native capabilities.
• Apply business rules to ensure data quality, consistency, and alignment with business definitions. 
• Define and compute KPIs to support dashboards, reporting, and advanced analytics. 
• Deliver analytics-ready data products for BI, reporting, and analytical models. 
• Deliver Agentic AI–ready data products with well-structured features, metadata, and documentation. 
• Partner with leads and global teams (engineering, BI, analytics) to ensure smooth end-to-end delivery. 
• Follow best practices (agile delivery, version control, code reviews, testing, documentation). 
• Support project/program leads with planning, staffing, risk management, and status reporting. 
• Collaborate with global teams (data engineers, platform engineers, BI developers, and analysts) to ensure seamless delivery. 
• Mentor junior team members and help coordinate work across roles (engineering, cloud, BI, operations). 
• Plan and track tasks to ensure on-time, high-quality delivery. 
• Contribute to key deliverables (requirements, solution design, prototypes, test cases, deployment and operations plans). 
• Manage internal and client communication for assigned workstreams. 
• Drive continuous improvement, innovation, and learning across technology, domain, and delivery practices. 

What You’ll Bring:

• Bachelor’s or master’s degree with a specialization in Computer Science, MIS, Information Technology, or other related disciplines. 
• 1–2 years of relevant development experience working on medium to large-scale technology solution delivery engagements, preferably within Pharma or Life Sciences organizations. 
• Strong experience in ETL development, including building and maintaining data pipelines. 
• Proficiency in SQL for data transformation, validation, and performance tuning. 
• Hands-on experience with Python scripting for data processing, automation, and transformation logic. 
• Solid understanding of data modeling concepts (conceptual, logical, and physical models). 
• Strong knowledge of data warehousing concepts, including dimensional modeling, fact/dimension tables, and performance optimization. 
• Experience designing and delivering data products for analytics and reporting. 
• Exposure to cloud platforms (AWS/Azure) and big-data/ETL tools (e.g., Hadoop, Spark/PySpark, Informatica, Talend, SSIS). 
• Strong analytical and problem-solving skills with the ability to understand business context. 
• Strong analytical, problem-solving, and communication skills; able to collaborate in global teams and explain ideas clearly. 
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

How you’ll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions.

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