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Data Engineer

Data Engineer: Automate analytics pipelines with Generative AI.
Lynx Analytics
Remote
On-Site
Singapore
Undisclosed salary
Job Description
Lynx Analytics is seeking a Data Engineer to join a cross-functional project team. The Data Engineer will be responsible for automating and productizing advanced analytics pipelines, working with technologies like Generative AI and a proprietary big graph analysis framework. This role involves implementing and deploying data analysis pipelines for various clients.

Responsibilities:
  • Understanding business problems and analytical solutions.
  • Discovering client's existing data sources.
  • Defining the technical architecture for analytical solutions.
  • Implementing data ingestion subsystems.
  • Implementing data analysis pipelines.
  • Integrating results into business UIs.

Requirements:
  • Python (pytest, pre-commit, venv, etc.)
  • Airflow, dbt, or other orchestration tool
  • Apache Spark, PostgreSQL, BigQuery, or other SQL/NoSQL engines
  • Docker, Docker Compose, Terraform or other IaC tools
  • Linux OS
  • Experience with cloud platforms like GCP, AWS, or Azure
  • Experience with CI/CD tools like GitHub Actions
  • Experience with FastAPI or Flask for service endpoints
  • Experience with Network setup (DNS, TLS, SSH, IP routes, etc.)
  • Prior experience in Generative AI (ideally RAG) and data science / analytics.

Benefits:
  • High ownership, zero micromanagement
  • Rapid learning opportunities and diverse challenges
  • Flexible work hours, remote-friendly setup
  • A collaborative culture
  • Flat organisational hierarchy
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Lynx Analytics

Lynx Analytics is a data science company that builds solutions for enterprise clients. They specialize in transforming data into actionable insights through data visualization and graph applications. Working closely with backend engineers and data scientists, Lynx Analytics focuses on delivering user-friendly interfaces that translate complex information into business-friendly formats. The company fosters a collaborative environment with emphasis on ownership, innovation, and achieving tangible results.

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