Senior GCP Data Engineer: BigQuery & AlloyDB for Logistics

Keylent Inc; New Jersey; Hybrid; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Keylent Inc. in New Jersey seeks a senior Google Cloud Platform Data Engineer to design robust data platforms for transportation and logistics. You will architect scalable pipelines using BigQuery, AlloyDB, Pub/Sub and Compute Engine, while maximizing performance and cost efficiency in a hybrid work setting.

The role emphasizes observability, data quality, and collaboration with cross-functional teams to drive delivery reliability and actionable insights for a global enterprise.

Qualifikationen

• Hands-on experience with Google Cloud Platform services.
• Knowledge of BigQuery, AlloyDB, and Compute Engine.
• Basic Python programming and optimization techniques.
• Experience with monitoring and observability tools.
• Understanding of performance testing concepts. Optimize Python, BQ, AlloyDB and Pub/Sub.

Aufgaben

• Design and implement scalable data pipelines on Google Cloud Platform.
• Develop Python data processing code for validation and automation.
• Architect and optimize AlloyDB schemas, indexes and queries.
• Configure and manage Google Cloud Pub/Sub for near real‑time data integration.
• Use BigQuery to design data models, partitioning and materialized views.
• Implement observability using Google Cloud Monitoring to track health and alerts.
• Collaborate with stakeholders to translate logistics needs into data architectures.
• Document data models and data flows with clear context for onboarding.
• Establish data quality standards and monitoring dashboards.
• Optimize cloud resources for cost and performance targets.

Kenntnisse

Google Cloud Platform

BigQuery

AlloyDB

Compute Engine

Python

Monitoring tools

Performance testing

Tools

Google Cloud Pub/Sub

Google Cloud Monitoring

BigQuery

AlloyDB

Compute Engine

Jobbeschreibung

Keylent Inc. in New Jersey seeks a senior Google Cloud Platform Data Engineer to design robust data platforms for transportation and logistics. You will architect scalable pipelines using BigQuery, AlloyDB, Pub/Sub and Compute Engine, while maximizing performance and cost efficiency in a hybrid work setting.

The role emphasizes observability, data quality, and collaboration with cross-functional teams to drive delivery reliability and actionable insights for a global enterprise.