We are seeking a highly self‑sufficient, motivated engineer based with strong full‑stack data engineering skills to join our innovative, dynamic team. This is a remote/offshore role that requires autonomy, excellent communication, and the ability to deliver high‑quality work with limited supervision while collaborating with a predominantly US‑based team. You will build reliable, scalable data products and user experiences that power AI/ML modeling, agentic workflows, and reporting—working end‑to‑end from data ingestion and transformation through to UI.

Our Python‑based data platform is undergoing a major evolution toward a up-to-date, cloud‑native ELT architecture. We are standardizing on Snowflake as our central data platform and dbt as our core transformation framework, implementing scalable, maintainable ELT practices that simplify ingestion, modeling, and deployment. This role will be pivotal in independently designing and building robust data pipelines and semantic layers that directly power our AI and machine learning initiatives—delivering clean, reliable,



and well‑modeled data assets to our data science team for feature engineering, model training, and production inference. You will collaborate closely (primarily via remote channels) with data scientists and ML engineers to ensure our data ecosystem is optimized for experimentation speed, model performance, and seamless integration into downstream products and services.

Key Responsibilities
- Remote collaboration & communication: Operate effectively as an offshore member of a distributed team, proactively communicating status, risks, and blockers across time zones and coordinating overlap with US working hours as needed.
- Full‑stack data engineering: Build across the entire stack, including data ingestion/acquisition and transformation, APIs, front‑end components, and automated test suites, delivering production‑grade solutions with minimal hand‑holding.
- Autonomous delivery & ownership: Take end‑to‑end owne

📌 Full‑Stack data engineer (Bengaluru)
🏢 Millennium
📍 Bengaluru