Posted on: 22/11/2025
Description :
Job Role : Data Engineer
Job Type Full-Time
Work Mode Remote (6 days working in a week)
Were looking for a hands-on Data Engineer to build and own end-to-end data pipelines powering downstream AI agent applications.
Youll design scalable data models, automate ETL/ELT workflows, and collaborate on ML deployments in a fast-paced startup environment.
Key Responsibilities :
- Automate ingestion from databases, APIs, files, and other sources
- Enable GenAI workflows by enriching data and surfacing real-time context
- Support ML model deployment using MLflow, Docker, or Kubernetes
- Implement monitoring, governance, and CI/CD (Azure DevOps, GitHub Actions, Terraform)
Skills & Experience :
- Strong Python, SQL, and Azure ecosystem experience
- Hands-on with ETL/ELT (dlt, duckDB, dvc, Prefect/Azure Data Factory)
- Experience with RAG pipelines and ML deployment tools
- Good understanding of DevOps, Git, and data governance
Nice to Have :
- ML or Computer Vision experience
- Familiarity with GDPR, CCPA
Why Join Us :
- Steep learning curve & direct production impact
- Remote-first with quarterly meetups and multi-market exposure
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1578779
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