Full Stack Data & ML Engineer

We are looking for a Full-stack Data + ML Engineer (Mid-Level) to join our Data & ML Team. The ideal candidate will bring strong experience in building data pipelines, managing data infrastructure, and deploying ML models into production.

This is a hands-on, high-impact role that blends data engineering and machine learning to drive actionable intelligence across the business.

Data Engineering (50%) :

• Design and build robust ELT / ETL pipelines from app, events, and 3rd-party data sources (batch & streaming).
• Create well-modeled data layers (staging / marts) with testing, documentation, and version control (e.g., dbt).
• Operate and optimize data warehouses / lakes, ensuring data lineage, quality checks, and secure access (PII compliance).
• Contribute to observability, cost tracking, and on-call support for data pipelines.

ML / AI (50%) :

Nice to Have :

What to Expect :

(ref : hirist.tech)