
Senior Data Engineering Specialist
1 week ago
Job Opportunity
We are seeking an experienced data engineering professional with a strong foundation in data pipelines, data validation, and AI-enhanced quality frameworks.
This role is responsible for building and maintaining high-quality data ingestion and validation processes from multiple upstream systems, while laying the foundation for AI-driven anomaly detection, business insight extraction, and scalable reporting solutions.
Key Responsibilities
- Data Quality Management
- Design and implement scalable data quality validation systems across multiple sources.
- Develop AI-driven tools that identify anomalies and provide early insight into data discrepancies.
- Lead development of data pipelines and validation scripts using Python, Alteryx, and integration into reporting tools.
- Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
- Build and deploy AI models to automate issue detection and enhance data lineage tracking.
- Collaborate with business analysts to incorporate predictive insights and pattern recognition from historical data anomalies.
Qualifications
- 6–10 years of experience in data engineering, data quality, or analytics engineering roles.
- Proficient in Python, Alteryx, SQL, and cloud data platforms.
- Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.
- Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).
Benefits
- Opportunity to work on cutting-edge data engineering projects.
- Collaborative environment with experienced professionals.
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