T

Tiger Analytics

Delivers Data and AI transformation

GCP Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timePhoenix, AZ, USANo salary listedHybrid

About the Job

Requirements

  • At least 5 years of experience in data engineering, including at least 3 years working extensively with Google Cloud Platform.
  • Strong proficiency with SQL, Python, and/or Java or Scala for data processing and scripting.
  • Proven experience with Google Cloud Platform services including BigQuery, Dataflow or Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (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.
  • A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Responsibilities

  • Build large-scale ETL/ELT pipelines and analytical architectures within the Google Cloud Platform ecosystem.
  • Assess, plan, and drive enterprise migration programs across data, applications, and cloud platforms.
  • Help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

Recently Posted Jobs

Explore more opportunities at Tiger Analytics

See more jobs