High-Quality Data Engineering Specialist

3 days ago

Alwar, Rajasthan, India beBeeData Full time ₹ 20,00,000 - ₹ 30,00,000
Job Description

We are seeking an experienced Data Engineering Lead 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.

The ideal candidate will have 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.

Main Responsibilities:

  • Data Quality Management: Design and implement scalable data quality validation systems across multiple sources.
  • Engineering & Automation: Develop and lead development of data pipelines and validation scripts using Python, Alteryx, and integration into reporting tools.
  • AI and Machine Learning Integration: Build and deploy AI models to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.
  • Data Governance & Reporting: Partner with stakeholders to proactively identify and address reporting gaps or escalations.
  • Cross-Functional Collaboration: Work closely with business analysts, data scientists, and engineering teams to align system architecture with business needs.
Key Qualifications:
  • 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.).
Benefits:

This role offers opportunities for career growth, professional development, and a chance to work with a talented team of engineers and analysts.

Requirements:

Please submit your updated resume, including your full name, contact number, total experience, relevant experience, current CTC, expected CTC, and notice period.

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