AUMET is the leading B2B marketplace to sell medical products between healthcare providers and distributors. We are innovating how distributors of medical supplies do business with consumer selling points such as pharmacies.
With 500,000 transactions per month, AUMET marketplace is a fast growing product that is capturing market share and is on a road to achieve its vision. And as we grow we need talented people to help us grow!
As a Data Engineer at Aumet, you will play a crucial role in building and maintaining our data infrastructure to support our business intelligence and analytics needs.
Responsibilities
- Design, develop, and maintain data pipelines and ETL processes to ensure efficient and reliable data extraction, transformation, and loading from various sources into our data warehouse.
- Collaborate with cross-functional teams to understand data requirements and implement data solutions that align with business needs.
- Develop and optimize data models and schemas to support data analytics, reporting, and visualization.
- Implement data governance and security measures to ensure data quality, integrity, and compliance.
- Monitor and troubleshoot data pipelines, identifying and resolving performance and scalability issues.
- Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes to enhance data accessibility and efficiency.
- Stay up-to-date with industry best practices and emerging technologies in data engineering and apply them to enhance our data capabilities.
- Build APIs to expose data and enable seamless access for data applications and services.
Requirements
- Bachelor's or higher degree in Computer Science, Data Science, or a related field.
- 1-2 years Proven experience as a Data Engineer or in a similar role, with a strong focus on data integration and ETL processes.
- Proficient in programming languages such as Python and SQL
- Experience working with large-scale databases and data warehouses (e.g., SQL Server, PostgreSQL, Redshift).
- Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
- Strong understanding of data modeling, data warehousing, and data pipeline architecture.
- Knowledge of data governance, data security, and privacy regulations (e.g., GDPR) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.