Tiger Analytics Inc.

Sr Data Engineer + Platform Engineer (GCP)

Tiger Analytics Inc.
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6 months ago
Hartford, CT, USASenior

Responsibilities

  • Design scalable ELT/ETL data pipelines using SQL, Python, BigQuery, Dataflow, and Cloud Storage.
  • Implement real-time processing with Pub/Sub and develop data models.
  • Provision and deploy GCP resources and services.
  • Automate infrastructure using Terraform.
  • Configure AlloyDB and Vertex AI database environments.
  • Build and manage containerized workloads with Docker and Google Kubernetes Engine.
  • Use GCP DevOps services including Cloud Build and Cloud Deploy.
  • Manage security with IAM and deploy services using Cloud Run and Cloud Scheduler.

Requirements

  • Proficiency in SQL, Python, and core Google Cloud services including BigQuery, Dataflow, and Cloud Storage.
  • Experience with GCP Data Transfer Service, Cloud Transfer Service, Pub/Sub, Cloud Dataflow, Cloud Dataproc, Cloud Dataprep, and Cloud Composer.
  • Experience with data modeling and real-time processing.
  • Experience managing IAM security and automating infrastructure with Terraform.
  • Experience with AlloyDB, Vertex AI, microservices, Cloud Run, and Cloud Scheduler.
  • Experience deploying GCP services and provisioning GCP resources.
  • Experience with Docker and Google Kubernetes Engine.
  • GCP DevOps experience with Cloud Build and Cloud Deploy.

Benefits

  • Significant career development opportunities.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with substantial individual responsibility.
  • Hybrid work arrangement requiring three to four days onsite.

Categories

Data EngineeringDevOps
Tiger Analytics Inc.

About Tiger Analytics Inc.

5,001-10,000 employees

Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.

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