Data Engineer GCP/Python/SQL remote

As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. Responsibilities: - Develop innovative solutions for complex data challenges, using creativity and technology. - Design and build data systems that fulfill client requirements and optimize user experience. - Collaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving. - Serve as a trusted consultant and architect for customized data solutions for global clients. - Handle large-scale data processing and manage distributed systems to ensure reliability and performance. - Uphold high standards of data quality and refine approaches to align with best practices. - Foster a culture of collaboration, craftsmanship, and continuous improvement. Requirements: - Strong experience in designing scalable data processing systems (pipelines, ETL, data warehouses, and lakes). - Proficiency in GCP , especially BigQuery . - Experience with dbt for data transformation. - Strong SQL skills and experience with relational databases. - Familiarity with Apache Airflow for workflow orchestration. - Proficiency in Python for data engineering tasks. Soft Skills: - Good communication skills in English (minimum B2). - Strong problem-solving and analytical thinking. Originally posted on Himalayas