We are looking for an experienced Data Engineer/Architect to join our team and play a key role in optimizing data and business processes within the wind energy sector. This role involves designing and enhancing scalable data warehouse solutions and managing high-volume datasets to support data-driven decision-making across the organization.
Requirements
5+ years of experience in data engineering or a related role.
Proven expertise in Python for data processing and automation.
Hands-on experience with GCP services, especially BigQuery.
Solid background in handling large-scale datasets and optimizing data workflows.
Strong problem-solving skills and the ability to work independently and collaboratively.
Excellent communication skills with a proactive and solution-oriented mindset.
Responsibilities
Design, develop, and maintain robust data architectures and pipelines using Python.
Build and optimize scalable data warehouse solutions on GCP.
Work extensively with BigQuery for data modeling, transformation, and querying of large datasets.
Ensure efficient data flow and reliability across various systems and business processes.
Collaborate with cross-functional teams to define data requirements and translate business needs into technical solutions.
Monitor data quality, implement best practices, and contribute to continuous improvement of data infrastructure.
What we offer
Direct cooperation with the already successful and growing project.
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