
Data Quality and Analytics Engineer
11 hours ago
Job Title: Data Engineering Lead
About the Role:
We are seeking a highly skilled and experienced Data Engineering Lead to join our team. As a seasoned data engineering professional, you will play a pivotal role in building and maintaining high-quality data ingestion and validation processes from multiple upstream systems.
Key Responsibilities:
- Design and implement scalable data quality validation systems across multiple sources.
- Develop AI-driven tools that identify anomalies, detect irrational transactions, and provide early insight into data discrepancies.
- Lead development of data pipelines and validation scripts using Python, Alteryx, and integration into reporting tools.
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.
- 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.
Benefits:
This role offers a unique opportunity to work with cutting-edge technologies and contribute to the success of our organization. If you are passionate about data engineering and eager to take on new challenges, we encourage you to apply.
Contact Information:
Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you
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