Data Engineer

Role Overview

We are seeking a skilled and passionate Data Engineer with deep expertise in Google Cloud Platform (GCP) and Google BigQuery. In this role, you will architect, build, and maintain the scalable data pipelines that are the foundation of our analytics and data science initiatives.

What You Will Do

Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using GCP services like Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer. Develop and manage our central data warehouse in Google BigQuery.

Why It Might Be a Fit

ShyftLabs is a growing data product company that works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation.

Requirements

• 3-5+ years of hands-on experience in a Data Engineering, Software Engineering, or a similar role
• Strong proficiency in a programming language such as Python or Java for data processing and automation
• Expert SQL Proficiency
• Google BigQuery: Proven expertise in using BigQuery as a data warehouse, including data modeling, performance tuning, and cost management
• GCP Data Services: Hands-on experience building data pipelines using the GCP ecosystem (e.g., Dataflow, Pub/Sub, Cloud Storage, Cloud Composer/Airflow)
• Data Pipeline Concepts: Deep understanding of ETL/ELT principles and data warehousing architecture (e.g., Star Schema, Data Lakes)
• Engineering Mindset: Strong problem-solving and troubleshooting skills with a focus on building scalable, maintainable, and automated systems

Benefits

• competitive salary
• strong insurance package
• extensive learning and development resources