GCP Data Engineer
Tiger Analytics Inc.4 months ago
Phoenix, AZ, USASenior
Responsibilities
- Build large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem.
- Assess, plan, and drive enterprise migration programs across data, applications, and cloud platforms.
- Modernize legacy systems and enable scalable, cloud-native architectures aligned with business goals.
- Optimize query performance and design data models, partitions, and schemas for analytical workloads.
- Use CI/CD practices, Terraform, and version control to support data engineering delivery.
Requirements
- At least 5 years of data engineering experience, including at least 3 years working extensively with GCP.
- Strong proficiency with SQL, Python, and/or Java or Scala for data processing and scripting.
- Experience with BigQuery, Dataflow or Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer or Airflow, and Cloud Functions.
- Experience building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
- Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
- Familiarity with CI/CD practices, Terraform, and version control such as Git.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Benefits
- Significant career development opportunities in a growing company.
- Opportunity to work in a small, challenging, and entrepreneurial environment with a high degree of individual responsibility.
- Hybrid workplace arrangement.
Tech Stack
Categories
Data Engineering
About Tiger Analytics Inc.
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.