AmaliTech is seeking an experienced Data Engineer to join its data team and help design, develop, and optimize data pipelines and workflows. The role involves building scalable data systems that support impactful insights and improve decision-making and operational efficiency across the organization.
What You'll Do
- Develop, construct, and maintain scalable data pipelines and ETL processes
- Assemble large, complex datasets that meet functional and non-functional business requirements
- Collaborate with data architects, data scientists, and analysts to understand data requirements and optimize data workflows
- Monitor and troubleshoot data systems using tools such as Grafana or AWS CloudWatch to ensure reliability, data quality, and availability
- Implement data governance and security measures to protect sensitive data
- Design and optimize data storage solutions, including data warehouses and data lakes
- Automate and improve data processes and workflows for scalability and efficiency
- Monitor data infrastructure for performance and reliability to address issues promptly
- Keep abreast of industry trends and emerging technologies in data engineering
- Document data pipelines, processes, and best practices for knowledge sharing
- Optimize database performance for efficient data retrieval and storage
What We're Looking For
- Strong understanding of data engineering concepts
- Excellent problem-solving skills
- Ability to work on complex data projects that drive impactful insights
Technical Stack
- Grafana
- AWS CloudWatch
