Lead Data Engineer

Job Summary

An AI-powered logistics and delivery management platform that helps businesses optimize, manage, and scale their last-mile delivery operations.

Design, build, and maintain scalable batch and real-time data pipelines. Develop reliable data ingestion systems across multiple databases, services, and event streams. Build and manage data warehouses, data lakes, and storage architectures for large-scale datasets. Design pipelines supporting CDC, streaming, incremental syncs, schema evolution, deduplication, and backfills.

Work with engineering and business teams to understand data requirements and deliver robust data solutions. Optimize SQL queries, storage, and pipeline performance for high-volume workloads. Implement data quality checks, monitoring, alerting, reconciliation, and observability across pipelines. Build cost-efficient data architectures capable of processing millions of events.

Own the complete lifecycle of data pipelines-from requirement gathering and design to deployment and monitoring.

Role Overview

We are looking for a hands-on Data Engineer to build and scale the data infrastructure powering a high-volume, real-time mobility and logistics platform. You will work on designing reliable batch and streaming pipelines, building scalable data systems, and enabling teams across the organization to make better decisions through high-quality and accessible data. This role is ideal for someone who enjoys owning data systems end-to-end and working with large volumes of real-time operational data in a fast-paced environment.

Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines.

• Develop reliable data ingestion systems across multiple databases, services, and event streams.

• Build and manage data warehouses, data lakes, and storage architectures for large-scale datasets.

• Design pipelines supporting CDC, streaming, incremental syncs, schema evolution, deduplication, and backfills.

• Work with engineering and business teams to understand data requirements and deliver robust data solutions.

• Optimize SQL queries, storage, and pipeline performance for high-volume workloads.

• Implement data quality checks, monitoring, alerting, reconciliation, and observability across pipelines.

• Build cost-efficient data architectures capable of processing millions of events.

• You will work on designing reliable batch and streaming pipelines, building scalable data systems, and enabling teams across the organization to make better decisions through high-quality and accessible data.

• This role is ideal for someone who enjoys owning data systems end-to-end and working with large volumes of real-time operational data in a fast-paced environment.

  Key Skills

• Data pipelines

• Data ingestion

• Data warehouses

• Data lakes

• CDC

• Streaming pipelines

• Incremental syncs

• Schema evolution

• SQL

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.