Heinsohn Business Technology is seeking a highly skilled Cloud Data Engineer to join our team. In this role, you will design, optimize, and implement scalable data solutions, with a primary focus on Google Cloud Platform (GCP). The ideal candidate has solid experience in data ingestion, cloud-based data warehouses, and modern ETL/ELT tools. Advanced English proficiency (B2-C1) is required to collaborate effectively with international teams and stakeholders.

REQUIREMENTS:

• Minimum of 3 years of experience as a Data Engineer or in a similar role.
• Expertise in Google Cloud Platform (GCP) is mandatory.
• Proficiency in Data Fusion, Informatica, or similar tools for data ingestion and integration.
• Hands-on experience with cloud-based data warehousing and managing large-scale data infrastructure.
• Familiarity with Azure or AWS is a plus, but GCP expertise is required.
• Advanced English proficiency (B2-C1), with excellent communication skills for global collaboration.

PREFERRED QUALIFICATIONS:

• Familiarity with Fivetran for data ingestion and integration.
• Experience in optimizing cloud-based solutions for cost-effectiveness and performance.
• Strong understanding of modern ETL/ELT workflows and tools.

• Design, implement, and maintain data pipelines using tools such as Data Fusion and Informatica for efficient data ingestion.
• Develop and manage cloud-based data warehouses, with a primary focus on GCP.
• Optimize cloud infrastructure and data processing workflows, ensuring cost efficiency and high performance.
• Collaborate with cross-functional teams to define data requirements and integrate data systems seamlessly.
• Monitor, troubleshoot, and enhance the reliability and scalability of data pipelines.