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