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Tiger Analytics Inc.

GCP Data Engineer

LocationPhoenix, Arizona, United States
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentData Engineering
Company size5,001–10,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
5+ years of experience in data engineering
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
Eligibility1
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.
Skills
SQL
Python
Java
Scala
GCP
BigQuery
Dataflow
Apache Beam
Dataproc
Pub/Sub
Cloud Storage
Cloud Composer
Airflow
Cloud Functions
CI/CD
Terraform
Git
About the company
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.
About the role
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.
Requirements
•
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.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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.
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