Data Engineer with AI Expertise
4 days ago
Job Overview
The role of the Data Engineer with AI Expertise involves designing and developing robust data pipelines to support AI data services operations. This includes ensuring smooth ingestion, transformation, and extraction of large, multilingual, and multimodal datasets.
Main Responsibilities
- Design and Development: Create and manage ETL workflows using Python and relevant libraries for high-volume data processing.
- Optimization: Monitor and optimize data workflows to reduce latency, maximize throughput, and ensure high-quality data availability.
- Collaboration: Work with cross-functional teams to guarantee seamless data integration and consistent data accuracy.
- Quality Checks: Implement validation processes and address anomalies or performance bottlenecks in real time.
- Integration & Automation: Develop REST API integrations and Python scripts to automate data exchanges with internal systems and BI dashboards.
- Documentation: Maintain comprehensive technical documentation, data flow diagrams, and best-practice guidelines.
Requirements
The ideal candidate will have a Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field, along with 3-5 years of professional experience in data engineering, ETL development, or similar roles.
Skills and Qualifications
- Technical Skills: Advanced Python proficiency with data libraries (Pandas, NumPy, etc.). Familiarity with ETL/orchestration tools (e.g., Apache Airflow). Understanding of REST APIs and integration frameworks.
- Soft Skills / Competencies: Excellent communication skills, problem-solving abilities, and a proactive attitude.
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