
Lead Data Engineer
19 hours ago
Job Title: Data Engineering Lead
About the Role:
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:
- Design and develop efficient data pipelines using Python, Alteryx, and cloud data platforms like Snowflake.
- Leverage AI/ML in data quality to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.
- Collaborate with cross-functional teams to align system architecture with business needs.
- Educate and influence non-technical business users on the importance of data quality and automated anomaly detection.
Requirements:
- 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.
- Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).
- Familiarity with enterprise systems like Workday, Beeline, and custom Excel-based reporting.
- Strong interpersonal and communication skills to work with executive stakeholders and distributed teams.
About Us:
We offer a dynamic and collaborative work environment that fosters innovation and growth. Our team is passionate about leveraging data to drive business insights and decision-making.
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