We are hiring a hands-on Data Engineer to join our India-based team and help build the next generation of our data delivery platform. Working closely with our senior and principal engineers and with engineering leadership across North America and India, you will design, build, and operate the pipelines that move and transform millions of data points every day.
We are deliberately moving away from a locked-in, vendor-heavy stack toward a flexible, largely open-source architecture that keeps our options open. You will be in the engine room of that re-architecture — writing code, designing schemas, tuning queries, and helping prove out new tools before we adopt them at scale.
This is a build role. You bring robust hands-on data pipeline experience and the judgment to use the right open-source tool for the job, while taking technical direction on the broader platform strategy from our senior engineers. We expect you to get into the details and understand the “how” and “why” behind every pipeline.
What You’ll Do
Build and operate pipelines: Design, build,



and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Work hands-on with the open-source stack: Build and maintain production data workflows using tools such as dbt, ClickHouse, and open-source orchestration frameworks (Airflow, Dagster, or similar).
Engineer and tune databases: Write and optimize complex SQL across SQL Server and Postgres — schema design, indexing, performance tuning, query optimization, and root-cause analysis.
Support platform modernization: Contribute to the hands-on migration away from Azure Databricks toward a more open, flexible, AWS-based stack, minimizing disruption to high-volume daily data delivery.
Prototype and evaluate: Help build proofs-of-concept to benchmark new tools and patterns, and feed clear results back into the team’s adoption decisions.
Work with AI-assisted tooling: Use AI coding assistants and well-crafted prompts

📌 Data Engineer (India)
🏢 MediaRadar
📍 India