
Lead Data Engineer for AI-Driven Quality and Analytics Solutions
11 hours ago
Job Posting: Lead Data Engineer for AI-Driven Quality and Analytics Solutions
We are seeking a seasoned Lead Data Engineer to spearhead the development of high-quality data ingestion, validation, and quality frameworks using AI-enhanced tools.
This role is responsible for building and maintaining robust data pipelines and validation processes across multiple sources, while laying the foundation for scalable reporting solutions.
- Data Quality Management:
- Design and implement large-scale data quality validation systems that incorporate AI-driven anomaly detection and business insight extraction.
- Develop and implement tools that identify anomalies, detect irregular transactions, and provide early insights into data discrepancies.
Key Responsibilities:
- Engineering & Automation:
- Lead the development of data pipelines and validation scripts using Python, Alteryx, and integration with reporting tools.
- Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
- Achieve Cross-Functional Collaboration:
- Collaborate closely with business analysts, data scientists, and engineering teams to align system architecture with business needs.
- Team Leadership & Optimization:
- Optimize team headcount through AI augmentation, enabling skilled team members to focus on higher-value initiatives.
Required Skills and Qualifications:
- 6–10 years of experience in data engineering, data quality, or analytics engineering roles.
- Proficient in Python, Alteryx, SQL, and cloud data platforms like Snowflake.
- Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.
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