Data Engineer

📋 Description Own data workflows end to end, including ingestion, storage, orchestration, transformation Build and maintain reliable inbound and outbound data transfers using cloud storage, secure file Develop and maintain ETL and ELT pipelines using workflow orchestration and event-driven processing. Manage data across cloud storage, data warehouses, and analytical databases. Design and optimize data models, schemas, queries, and transformations for reliable, efficient Own custom datasets supporting large clients and company partnerships, maintaining a clear 🎯 Requirements Experience building, maintaining, and troubleshooting production data pipelines. Strong Python skills for data processing, automation, and integrations. Strong SQL skills, including complex transformations, query optimization, and diagnosing data Practical understanding of ETL and ELT patterns, workflow orchestration, and pipeline recovery. Experience with cloud object storage and file-based data transfers, including familiarity with SFTP. Experience designing data models and working with relational databases, including schemas, indexes 🎁 Benefits This position is for a full time contract, through a payroll platform. The talent will work remotely allocated at our client. Compensation: (USD) $2,000 - $2,500 per month, depending on seniority and skillset.