Key skills
AWSAzureCloudETLGoogle Cloud PlatformPythonSQLData EngineeringAnalyticsGCPGoogle CloudProject Management
About this role
Role Overview
- Design, build, and scale robust ETL pipelines for complex data workflows
- Automate and manage data ingestion from diverse sources
- Optimize data storage, processing, and retrieval layers
- Modernize and enhance legacy data systems
- Lead technical excellence through mentorship and code reviews
- Ensure end-to-end data quality and integrity
- Collaborate with cross-functional teams to align data solutions with strategic business goals
- Drive a data-driven culture and long-term data strategy
Requirements
- 7+ years of experience in IT with 5+ years of hands-on experience in Data Engineering
- Bachelor’s degree in Data Engineering, Computer Science, Data Analytics, or a related field is required
- Master’s degree preferred
- Advanced proficiency in Python and SQL
- Proven experience in ETL pipeline development
- Experience with cloud data platforms such as AWS, GCP, or Azure
- Strong understanding of modern data architecture patterns
- Demonstrated ability to optimize data workflows and ensure high performance, scalability, and reliability of data systems
- Strong project management skills
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- Python
- SQL
Benefits
- Health insurance
- Relocation support
- Flexibility to work remotely
- Access to certification programs
- Mentorship opportunities
- Internal mobility
- Continuous learning opportunities
- Inclusive, collaborative, and supportive workplace
- Regular team-building activities
- Commitment to IT education and community empowerment