Key skills
AWSAzureCloudPythonSQLTableauAIMachine LearningData EngineeringBIPower BIGoogle Cloud
About this role
Role Overview
- Lead the development, optimization, and maintenance of complex data pipelines
- Apply advanced SQL and Python to design, build, and optimize data processing systems
- Utilize strong data modeling skills to develop and implement efficient and scalable database structures
- Ensure data quality, accuracy, and security throughout all stages of data processing
- Work extensively with cloud platforms to design and deploy scalable data solutions
- Implement cloud-based data lakes and warehouses
- Support data scientists and machine learning engineers by preparing data for models
- Provide clean, structured data to business stakeholders for visualization
Requirements
- 4+ years of experience in data engineering
- Strong expertise in Python and SQL
- Extensive experience with data modeling and designing scalable data solutions
- Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud)
- Basic understanding of machine learning and AI principles
- Hands-on experience with data visualization tools such as Power BI, Tableau, or QuickSight
- Strong problem-solving and analytical skills
Tech Stack
- AWS
- Azure
- Cloud
- Python
- SQL
- Tableau
Benefits
- Competitive salary
- Health insurance
- Flexible working hours
- Professional development opportunities