Data Engineer
Core
Architect scalable data pipelines, semantic models, and end-to-end BI solutions while operationalizing GenAI capabilities (RAG, agents) to fuel Finance decision-making.
Role type
Senior Data Engineer (Finance Technology & GenAI) (via careerplan.io/jobs/REF077890W-data-engineer-at-visa)
Builds
Scalable data pipelines, governed semantic layers, production GenAI features, and BI dashboards for Finance domains.
Domain
Financial Services / Data Engineering & Generative AI
Required skills
SQL, Hive, PySpark, Data Warehousing, ER Modeling, GenAI Engineering (RAG, Prompt Engineering, Vectorization), MLOps, CI/CD, Power BI, Azure DevOps, LangChain
Preferred skills
Big Data ecosystem (Hadoop, Spark, Tez), Data Administration (YARN, Splunk), Finance Domain Knowledge, Machine Learning/Deep Learning
Technologies
SQL, Hive, PySpark, Power BI, Fabric, SSAS Tabular, Azure DevOps, GitHub Actions, MLflow, LangChain, Hadoop, Spark, Tez, MR, Tableau, Great Expectations, YARN, Splunk
Responsibilities
Design and deploy scalable batch/streaming data pipelines; Engineer dimensional/semantic models for self-service analytics; Ship production-grade GenAI features with guardrails and evaluation frameworks; Implement CI/CD, data quality tests, and deployment automation; Deliver high-impact dashboards and scorecards; Embed privacy-by-design and finance controls (SOX, audit trails).
Seniority
Senior, hands-on IC
