Data Engineer

Job Role- Data Engineer

Job Type- Full-Time

Work Mode- Remote(6 days working in a week)

We’re looking for a hands-on Data Engineer to build and own end-to-end data pipelines powering downstream AI agent applications. You’ll design scalable data models, automate ETL / ELT workflows, and collaborate on ML deployments in a fast-paced startup environment.

Key Responsibilities :

Design and maintain data models, schemas, and pipelines (batch & streaming with Spark)

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 :

5+ years in Data Engineering or related role

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 :

Prompt Engineering / Agent workflows

ML or Computer Vision experience

Familiarity with GDPR, CCPA

Why Join Us :

Fast-growing, revenue-generating PropTech startup

Steep learning curve & direct production impact

Remote-first with quarterly meetups and multi-market exposure