Description

We are looking for a data engineer responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development, delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers.

Responsibilities

• Design and develop scalable, high-performance backend services and APIs that process and expose telematics data, including:
  • GPS
  • Trip events
  • Driver behavior
  • Vehicle diagnostics
  • Sensor telemetry
• Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems such as Pub/Sub and Kafka into data warehouses and operational stores.

Job Requirements

Details:

Skills Required

• GCP, Big Data, BigQuery, Artificial Intelligence & Expert Systems, API

Skills Preferred

• Google Cloud Platform
• Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer / Airflow, BigQuery ML
• Using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required 

• 7+ years of experience in IT, 5+ years of experience in software development
• Google Cloud Platform (GCP)
  • Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
  • Example: Designing and implementing a cloud-native application architecture using GKE with Cloud SQL and Pub/Sub.
• Big Data
  • Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.
  • Example: Building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
• Data Warehousing
  • Experience designing and maintaining data warehouse solutions such as BigQuery, Snowflake, or Redshift.
  • Example: Modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
• Artificial Intelligence and Expert Systems
  • Experience developing or integrating AI/ML models and rule-based expert systems.
  • Example: Building a classification model using Vertex AI to predict customer churn or implementing a rule engine that automates underwriting decisions.
• API Development
  • Experience designing, building, and consuming RESTful or gRPC APIs.
  • Example: Developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Preferred Experience

• Languages: Kotlin, Java, Python, or equivalent JVM/backend language
• Frameworks: Spring Boot, gRPC, REST API design
• Data Technologies: BigQuery, PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub
• Infrastructure: GCP or equivalent, Docker, Kubernetes, CI/CD pipelines
• Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, and API versioning

Education Required

• Bachelor's Degree

Education Preferred: 

• Certification Program

Key Skills

Education

Any Graduate