Entry Level Data Analyst jobs in United States
Data Engineer (Tableau & Databricks)
COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.
Data Engineer: Tableau & Databricks for Migration & Dashboards
COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.
Senior Data Scientist - Life Sciences Supply Chain AI
COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.
Data Scientist
COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.
Discover more opportunities than anywhere else. Find more jobs nowSenior Big Data Engineer: Spark, Hadoop & Pipelines
Citi
Connect with headhunters to apply for similar jobsSenior Data Scientist, Product Analytics & Strategy
Airwallex
Senior Data Engineer - Data Pipelines & Cloud (Python/SQL)
NTT Ltd
Senior Azure Data Engineer: Databricks & Lakehouse Lead
PEOPLE PROFILERS PTE. LTD.
Healthcare Nutrition Compliance & Data Manager
BUSINESS EDGE PERSONNEL SERVICES PTE LTD
Senior Data Engineer — Scalable ETL & Data Pipelines
THE GREAT EASTERN LIFE ASSURANCE COMPANY LIMITED
Tech Product Manager, Data & AI for Robotic Fleet
LIONSBOT INTERNATIONAL PTE. LTD.
Data Engineer
Job summary
A technology firm in Singapore is seeking a skilled backend developer to design and build services using Python and FastAPI. The role involves developing and deploying GenAI applications while collaborating with AI/ML engineers on integrating LLM outputs. Ideal candidates should have a strong proficiency in Python, experience with CI/CD pipelines, and knowledge of graph databases. This position offers the opportunity to work with cutting-edge technologies in a dynamic environment.
Qualifications
- Good understanding of global import/export environments and documentation.
- Experience developing and deploying LLM-based applications.
- Familiarity with CI/CD processes and deployments.
Responsibilities
- Design and build backend services using Python and FastAPI.
- Develop, test, and deploy GenAI applications in production.
- Build and maintain LLM pipelines for archival content.
Skills
Tools
- Design and build backend services using Python and FastAPI
- Develop, test, and deploy GenAI applications in a production setting
- Build and maintain LLM pipelines (e.g., OpenAI, HuggingFace Transformers, LangChain)
- Construct scalable data pipelines for ingesting and structuring archival content
- Interface with graph databases (e.g., Neo4j, Memgraph) for relationship mapping
- Collaborate with AI/ML engineers, designers, and other stakeholders to integrate LLM outputs with UI and user workflows
- Implement CI/CD pipelines and manage on-premise or VM-based deployment
- Good understanding of a global import export environment & the documentation requirement for the same
- Familiarity in working across ERP systems and system integrations.
- Strong proficiency in Python, with experience in FastAPI
- Experience developing and deploying LLM-based applications (Azure OpenAI API, HuggingFace, etc.)
- Background in data engineering — working with large-scale unstructured text, ETL workflows
- Familiarity with graph databases and knowledge representation
- Exposure to CI/CD pipelines and deploying services in on-premise or virtual machine environments
- Track record of taking GenAI applications from development to real-world usage
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.