Senior Cloud Data Engineer: Scalable Pipelines

Cognizant; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Cognizant Singapore is seeking an experienced Data Engineer to design and implement end-to-end data pipelines on modern cloud platforms. You will contribute to scalable architectures, ensure reliability, and collaborate with product teams.

You will actively test, optimize data flows, govern data processing, and mentor peers on best practices. The role emphasizes secure, maintainable solutions and incident-ready operations.

Qualifications

• Hands-on data engineering experience with large data sets.
• Proficiency in Python and data processing libraries.
• Ability to design and implement comprehensive tests (unit, integration, end-to-end).
• Experience with cloud technologies and distributed systems.
• Understanding of data governance and incremental processing patterns.

Responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure.
• Apply domain modelling to build scalable business products.
• Structure software for readability, testability and evolvability.
• Design scalable architectures with zero single points of failure.
• Develop secure code and protect customer data.

Skills

Data engineering

Python

Testing frameworks

Cloud platforms

Data transformation

Orchestration

Distributed systems

Data governance

Event-driven

Stakeholder mgmt

Incremental processing

Performance

Job description

Cognizant Singapore is seeking an experienced Data Engineer to design and implement end-to-end data pipelines on modern cloud platforms. You will contribute to scalable architectures, ensure reliability, and collaborate with product teams.

You will actively test, optimize data flows, govern data processing, and mentor peers on best practices. The role emphasizes secure, maintainable solutions and incident-ready operations.