Data Engineer

Visa
Singapore
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: []

Architect scalable, governed data pipelines, semantic models, and end-to-end BI solutions for Visa’s Finance Technology Data Intelligence organization. Build batch/streaming pipelines across Lake/Lakehouse using SQL, Hive, and PySpark, and deliver self-service analytics with dimensional models, DAX, and row-level security. Operationalize production GenAI (RAG, prompt engineering, evaluation, guardrails) on compliant datasets, while enabling CI/CD, observability, and risk/governance through robust documentation and automation.

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FursaFursa
Visa
Visa
1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Architect scalable, governed data pipelines, semantic models, and end-to-end BI solutions for Visa’s Finance Technology Data Intelligence organization. Build batch/streaming pipelines across Lake/Lakehouse using SQL, Hive, and PySpark, and deliver self-service analytics with dimensional models, DAX, and row-level security. Operationalize production GenAI (RAG, prompt engineering, evaluation, guardrails) on compliant datasets, while enabling CI/CD, observability, and risk/governance through robust documentation and automation.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deploy governed batch/streaming data pipelines delivering high-quality analytical datasets across Finance domains.
  • •Engineer dimensional/semantic models for self-service analytics using Power BI/Fabric semantic models/SSAS Tabular, including performant DAX measures and row-level security.
  • •Ship production-grade GenAI capabilities for Finance (RAG, prompt-chaining/agents) with vectorization/chunking aligned to PII/SOX controls and responsible evaluation metrics.
  • •Implement CI/CD and automation for data & AI, including data quality testing, model/data deployment, and observability (lineage, drift, freshness, cost).
  • •Deliver dashboards/scorecards and robust risk/governance documentation (runbooks, data dictionaries, model cards) with privacy-by-design and SOX audit trails.

Key Requirements

  • •Bachelor’s degree or 3+ years of relevant work experience.
  • •1+ years of hands-on experience building large-scale data processing platforms.
  • •Strong understanding of data warehousing concepts including ER/data modeling and data warehouse architecture.
  • •1+ years practical experience with SQL/Hive/PySpark for data extraction, aggregation, optimization, and storage on Hadoop and cloud platforms.
  • •1+ years of applied GenAI engineering experience including production-grade RAG, prompt engineering, evaluation, guardrails, and familiarity with LLMs, vectorization, chunking, and orchestration frameworks.
Education:Bachelor's in Data Science or Computer Science
Tech Stack:SQLHivePySparkLakeLakehousePower BIFabricSSAS TabularDAXRAGPrompt engineeringLangChainVectorizationChunkingAgentsGitAzure DevOpsGitHub ActionsGreat ExpectationsMLflow

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor