Role Overview:

We are looking for a Data Engineer (35 years) to join Prontos Data Platform team. You will own and build end-to-end data pipelines that power:

real-time order assignment and ETA intelligence

marketplace health (supply, demand, utilization)

growth, retention, and experimentation

This is a high-impact IC role with strong ownership and close collaboration with Product, Ops, Analytics, and Engineering teams.

What Youll Do

Design, build, and operate scalable data pipelines (batch + near-real-time) handling large volumes of marketplace and event data
Own data ingestion from multiple sources: app events, backend services, partner systems, payments, and ops tools
Build reliable ETL / ELT workflows with clear SLAs, monitoring, and alerting
Work closely with Product Managers and Analysts to model data for:
order lifecycle & assignment logic
partner performance & reliability
customer behavior, retention, and funnels
Identify and resolve data quality issues, inconsistencies, and pipeline failures proactively
Design and maintain well-structured data models, documentation, and lineage
Ensure data is trustworthy, discoverable, and easy to use across teams
Continuously improve performance, cost efficiency, and scalability of the data stack

What Were Looking For

35 years of hands-on data engineering experience in high-scale consumer, marketplace, logistics, or fintech environments
Strong proficiency in SQL and Python with experience building production-grade data pipelines
Solid understanding of data modeling, warehousing, and analytics use cases
Experience with cloud data infrastructure (AWS preferred) and tools like Airflow, Kafka/Kinesis, and modern warehouses
Strong ownership mindset with focus on data correctness, reliability, and impact
Comfortable working cross-functionally and explaining data clearly

Data Engineer