Associate Platform Services - Data Engineer
In short
ZS is seeking an Associate Platform Services - Data Engineer to develop scalable analytics-ready and Agentic AI-ready data products on the ZAIDYN platform. Responsibilities include designing and implementing data pipelines, applying business rules, defining KPIs, and delivering trusted data for analytics and intelligent automation. Requires a Bachelor's degree and 1-2 years of relevant development experience, with strong foundations in ETL, data warehousing, and SQL/Python.
Responsibilities
- Develop complex solutions using programming languages, ETL platforms, and cloud technologies.
- 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 for data ingestion, processing, and transformation.
- Implement ETL workflows using platform and cloud-native capabilities.
- Apply business rules for data quality, consistency, and alignment.
- Define and compute KPIs for dashboards, reporting, and advanced analytics.
- Deliver analytics-ready and Agentic AI-ready data products.
- Partner with leads and global teams for end-to-end delivery.
- Follow best practices: agile delivery, version control, code reviews, testing, documentation.
- Support project leads with planning, staffing, risk management, and status reporting.
- Collaborate with global teams (data engineers, platform engineers, BI developers, analysts).
- Mentor junior team members and coordinate work across roles.
- Plan and track tasks for on-time, high-quality delivery.
- Contribute to key deliverables: requirements, solution design, prototypes, test cases, deployment plans.
- Manage internal and client communication for assigned workstreams.
- Drive continuous improvement, innovation, and learning.
Requirements
- Bachelor’s or master’s degree in Computer Science, MIS, Information Technology, or related disciplines.
- 1–2 years of relevant development experience on medium to large-scale technology solution delivery engagements.
- 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.
- Solid understanding of data modeling concepts (conceptual, logical, and physical models).
- Strong knowledge of data warehousing concepts (dimensional modeling, fact/dimension tables, performance optimization).
- Experience designing and delivering data products for analytics and reporting.
- Exposure to cloud platforms (AWS/Azure) and big-data/ETL tools (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.
- Ability to collaborate in global teams and explain ideas clearly.
- Fluency in English.
- Client-first mentality.
- Intense work ethic.
- Collaborative spirit and problem-solving approach.
Benefits
- 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
#Platform Services#Data Engineer#ETL#Data Warehousing#Python#SQL#Cloud#Analytics#AI