GCP Data Engineer

🕒 July 10

🌵 Arizona – Remote

🌵 Arizona – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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. • Help clients modernize their technology landscape and optimize legacy systems. • 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. • Unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.