GCP Data Engineer

Responsibilities

• Develop and optimize data pipelines and ETL/ELT workflows using GCP tools such as BigQuery, Dataflow, and Cloud Functions
• Write efficient SQL and Python code for data transformation and integration
• Collaborate with data analysts, engineers, and stakeholders to deliver data solutions
• Ensure data quality, integrity, and reliability across pipelines
• Monitor pipeline performance and troubleshoot issues proactively
• Support hybrid cloud data architectures involving both GCP and Azure

Requirements

• 3-9 years of experience in data engineering roles
• Proficiency in SQL and Python for data manipulation and automation
• Hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, etc.)
• Solid understanding of data modeling, warehousing concepts, and performance tuning
• Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• Experience with Azure Data Factory, Synapse, or other Azure data tools
• Familiarity with CI/CD pipelines and DevOps practices in cloud environments

About the Company

StatusNeo is a global consulting firm that empowers businesses through cutting-edge AI, automation, and cloud-first digital solutions. They specialize in product and platform engineering to elevate business functionality and user experience.