Data Engineer
1 week ago
Responsibilites
- Design, develop, and maintain robust data pipelines and architectures.
Collaborate with cross-functional teams to integrate data from various sources. - Implement and manage CI/CD processes to ensure smooth deployments.
- Optimize Snowflake database performance and ensure efficient data storage.
- Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
- Write and maintain detailed technical documentation for data processes and architecture.
- Monitor and troubleshoot data pipelines to ensure data integrity and quality.
- Stay current with industry trends and best practices in data engineering and integration.
Requirement
- Expertise in Snowflake database development.
- Proficient in Azure Data Factory and the MS Fabric stack.
- Experience with Continuous Integration / Continuous Deployment (CI/CD).
- Strong background in advanced data integration and engineering.
Proven ability to write clear and comprehensive technical documentation. - Experience with multiple cloud platforms, specifically Azure and AWS.
Strong problem-solving skills and attention to detail. - Excellent collaboration and communication skills.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
- Minimum 5 years of experience in a similar role.
Tell employers what skills you have
Machine Learning
Troubleshooting
Big Data
Pipelines
Hadoop
Mathematics
Data Management
ETL
Customer Relationship Management
Data Engineering
SQL
Python
Attention to Details
Data Science
Java
Databases
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