You will design, develop, and operationalize large-scale data architectures and analytics platforms.
Responsibilities
Architect and implement data warehouses, data lakes, and large-scale data solutions.
Develop data pipelines using GCP cloud implementation suites.
Build and maintain automated deployment and testing processes via CI/CD pipelines.
Design software solutions using Java and Python to support data engineering workflows.
Collaborate within agile development methodologies to deliver data-driven projects.
Required Skills
7+ years of experience in software design and development.
3+ years of hands-on experience with GCP tools including BigQuery, Pub/Sub, Dataflow, Apache Beam, Airflow, Composer, Cloud Storage, and Cloud Functions.
Proficiency in Java and Python for software development.
Extensive experience writing and optimizing SQL for data manipulation.
Experience managing DevOps CI/CD pipelines for automated deployment.
Strong understanding of large-scale data architecture and operationalization.
Bachelor's degree in Computer Science, Information Technology, or a closely related discipline.
Preferred Skills
5 years of dedicated experience in the data engineering field.
Comparable experience with AWS or other cloud Big Data environments.