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We are seeking a motivated and enthusiastic Data Engineer to join our dynamic team. This full-time position offers hands-on experience in data engineering, allowing you to work on real projects and gain valuable industry knowledge.
Responsibilities:
- Design and implement data pipelines to manage data movement from various sources (databases, APIs, etc.) into storage solutions.
- Develop and manage ETL processes using dbt for efficient data transformation
- Optimize data pipelines for efficiency and scalability using techniques within the chosen data processing technology and enhance storage solutions for optimal performance.
- Design, implement, maintain, and improve CI/CD pipelines for data processes. This includes automating testing, deployment, and configuration management for data infrastructure.
- Collaborate with data scientists and business analysts to design and implement data pipelines.
- Develop efficient data processing code that adheres to specifications
- Integrate data from various sources and third-party applications
- Test and implement data processing systems and workflows
- Identify, troubleshoot, and enhance existing data processes
- Collect and assess data input from various sources
- Propose and implement data enhancements and optimizations
- Generate technical documentation for reference and reporting
Additional Value Added Skills:
- Experience with any DevOps, GitHub tools and methodologies.
- Understanding of cloud security, governance best practices in Akamai / Azure / AWS / GCP.