# Data Engineer

**Company**: Visa
**Location**: SG - Singapore
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Data-Engineer_REF088915W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d0776607-28b

## Description

Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems.

In this role, engineers spend a majority of their time coding, working hands-on with code, data, and modern tools,including AI-assisted development, cloud services, and automation frameworks,to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector.

They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.

Key Responsibilities:

**Data Engineering & Platform Development**

- Design, develop, and maintain scalable data pipelines, integrations, APIs, and platform services supporting Digital Marketing & Engagement solutions.

- Build and optimize batch, streaming, and event-driven data processing workflows.

- Develop reusable data assets, data services, and platform capabilities that improve data accessibility, quality, and scalability.

- Ensure data quality, reliability, governance, security, and operational excellence across platform components.

**Generative AI & Intelligent Applications**

- Build and integrate AI-powered applications, workflows, and data services leveraging Large Language Models and Generative AI technologies.

- Implement Retrieval-Augmented Generation (RAG), semantic search, vector retrieval, and knowledge-access patterns to enable intelligent experiences.

- Develop integrations between AI models, enterprise data sources, APIs, and business applications.

- Support evaluation, monitoring, and continuous improvement of AI-enabled solutions.

**AI Governance & Optimization**

- Apply guardrails, governance controls, and responsible AI practices when developing AI-enabled solutions.

- Implement controls to improve data protection, model safety, content quality, and secure access to enterprise information.

- Monitor and optimize token consumption, response latency, reliability, and operational costs.

- Support observability, telemetry, monitoring, and evaluation frameworks for AI workloads.

**AI-Assisted Engineering & Innovation**

- Utilize AI-assisted development tools and coding agents to improve engineering productivity and software quality.

- Apply AI-assisted workflows across development, testing, debugging, documentation, and operational support activities.

- Evaluate emerging technologies, tools, and frameworks within data engineering, Generative AI, and intelligent automation.

- Contribute to innovation initiatives that improve platform capabilities and developer effectiveness.

**Qualifications**

- Basic Qualifications:

- Bachelor's degree, OR 3+ years of relevant work experience

- Preferred Qualifications:

- Strong programming skills in Python, Java, SQL, or similar languages.

- Experience building and operating data pipelines, integrations, ETL/ELT workflows, and data processing applications.

- Experience working with structured and unstructured datasets at scale.

- Experience with distributed data processing, event-driven architectures, or streaming technologies such as Kafka.

- Experience with cloud-native development and enterprise data platforms.

- Experience implementing data quality, governance, monitoring, and observability practices.

- Experience with CI/CD pipelines, automated testing, and production support.

## Skills

### Required
- Python
- Java
- SQL
- AI-assisted development
- cloud services
- automation frameworks

### Nice to have
- Large Language Models
- Generative AI
- Retrieval-Augmented Generation
- semantic search
- vector retrieval
- knowledge-access patterns
- Databricks
- Snowflake
- BigQuery
- Synapse
- Spark

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Data-Engineer_REF088915W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)