GCP Data Engineer

Tiger Analytics; Phoenix (AZ); On-site; USD 110,000 - 160,000; Full time

Job summary

Tiger Analytics is seeking an experienced Data Engineer to join our team, focusing on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. You will help assess, plan, and drive enterprise migration programs across data, applications, and cloud platforms, enabling modern, scalable, cloud-native solutions aligned with business goals.

Candidates should have 5+ years in data engineering with 3+ years on GCP, strong SQL/Python/Java/Scala, and hands-on

Qualifications

• 5+ years in data engineering with 3+ years on GCP.
• Strong SQL, Python, and/or Java/Scala for data processing.
• Experience with GCP services listed above.
• Bachelor's or Master's in CS, Engineering, or IS.

Responsibilities

• Build large-scale ETL/ELT pipelines on cloud platforms.
• Design analytical architectures within the GCP ecosystem.
• Assess, plan, and drive migration programs across data and cloud platforms.

Skills

SQL

Python

Java/Scala

Data modeling

ETL/ELT pipelines

Cloud data engineering

CI/CD

Git

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Cloud Composer

Airflow

Terraform

Git

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

• 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
• Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
• Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
• Experience in 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 (e.g., Git).
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.