Senior Data Engineer for ML Solutions

Lead data infrastructure development as a Senior Data Engineer. Design multi-source collection strategies and robust ETL pipelines while ensuring data quality for machine learning applications. As an integral part of a growing tech company, you will be responsible for creating data structures that support business intelligence and model training. Collaborate with engineers to standardize data collection processes and validate incoming data quality. You'll also work on data lineage practices, making information accessible to non-specialists. Key Responsibilities: • Design multi-source data collection strategies • Define schemas for data consistency • Build and document robust ETL/ELT pipelines • Ensure traceability and quality of data • Collaborate to identify features for ML datasets Requirements: • Minimum 3 years as Data Engineer or Scientist • Proficient in Python and PostgreSQL • Solid experience in AWS pipeline management • Strong applied statistics background • Excellent communication with non-technical stakeholders Utilize your expertise to develop critical data infrastructures facilitating advanced business decisions and machine learning training.