GCP Data Engineer - Senior Associate

Responsibilities

• Building GCP data pipelines and cloud-native data solutions to support modernization initiatives
• Designing and implementing data integration, transformation, and validation workflows across source systems
• Developing scalable data lake and data warehouse structures for analytics and reporting use cases
• Optimizing pipeline performance, query execution, and storage design in cloud environments
• Applying Apache Airflow, Databricks, and Snowflake to automate orchestration and data delivery
• Collaborating with client stakeholders to translate business needs into technical data engineering deliverables
• Reviewing code, data models, and deployment outputs to maintain technical consistency across workstreams
• Supporting data architecture, governance, and security practices within modern cloud platforms
• What You Must Have
• At least a Bachelor's degree
• At least 4+ years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating data engineering experience across cloud-native platforms and pipelines
• Utilizing Google Cloud Platform services for analytics and modern data architecture
• Applying Apache Airflow, Databricks, or Snowflake in transformation work
• Interpreting complex data requirements and translating them into scalable solutions
• Mentoring junior team members while managing assigned client workstreams