Data Engineer

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

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices
• Use domain modelling techniques to allow us to build best in class business products.
• Structure software so that it is easy to understand, test and evolve.
• Build solutions that avoid single points of failure, using scalable architectural patterns.
• Develop secure code so that customers are protected from malicious actors.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Make sure releases happen with zero downtime for end-users.
• Keep an eye on performance, making sure we use the right approach to identify and solve problems.
• Ensure systems are reliable and easy to operate.
• Keep us up to date by continuously updating technologies and patterns.
• Support the products built through their entire lifecycle, including in production and during incident management

Job Requirements:

• Recent hands-on professional experience as a data engineer
• Experience in coding in a recent version of the Python programming language
• Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
• Experience with cloud technologies and distributed systems
• Experience with data transformation frameworks and data pipeline orchestration tools
• Experience with managing large volumes of data and optimizing data processing
• Understanding of event-base architecture, data streaming and messaging frameworks
• Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
• Manage stakeholders and effectively prioritize work across multiple work streams.
• Experience with data governance frameworks
• Understanding of incremental data processing and versioning