GCP Data Engineer

Tiger Analytics, LLC; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

Tiger Analytics, LLC is seeking an experienced Data Engineer to join our team in Phoenix. You will build large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem, helping clients modernize their data landscapes and enable cloud-native analytics.

The ideal candidate has 5+ years in data engineering, strong SQL and Python, and hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow.

Qualifications

• 5+ years of experience in data engineering.
• 3+ years working extensively on GCP.
• Proficiency with SQL, Python, and/or Java/Scala for data processing.

Skills

SQL

Python

Java/Scala

Education

Bachelor's degree

Master's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Cloud Composer

Cloud Functions

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.