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Valtech · 14 hours ago

Senior Google Cloud Data Engineer

New York, NY

Full-time

Hybrid

Senior Level

$170K/yr - $240K/yr

Valtech is the experience innovation company that partners with globally recognized brands. They are seeking a Senior Google Cloud Data Engineer who will drive projects independently, focusing on cybersecurity analytics and anomaly detection while developing dashboards and insights for security threat visualization.

ConsultingInformation ServicesInformation Technology

Responsibilities

Drive projects independently, ensuring timely delivery and high-quality outcomes

Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats

Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery

Implement alerting systems to proactively detect anomalies and security issues

Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying

Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic

Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP

Perform data manipulation and analysis to support threat detection and reporting

Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments

Develop and maintain technical documentation for all assigned systems and projects

Qualification

PythonSQLBigQueryDataflowLooker CoreMachine LearningAlerting FrameworksCloud architectureTerraformSoft skillsCommunication skills

Required

Strong expertise in Python - for building data pipelines, processing tasks, and automation

Advanced SQL capabilities (nested fields, analytic functions)

Hands-on experience with Core GCP Data Stack: BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery ML (BQML) for implementing logistic regression or k-means clustering on data in-place

Strong proficiency in writing data pipelines (Python or Java) handling windowing, watermarks, and triggers for streaming data using Dataflow (Apache Beam)

Experience with event-driven architecture and message queuing using Pub/Sub

Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax with Looker Core

Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization

Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (real-time threat monitoring) and Executives (risk posture and compliance reporting)

Familiarity with Alerting Frameworks

Ability to work independently and drive projects solo with minimal supervision

Outstanding soft and communication skills