Data Engineering Strategist

20 hours ago

Thoothukudi, Tamil Nadu, India beBeeDataEngineering Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a skilled Data Engineering Strategist to lead our data engineering efforts and drive business growth through data-driven insights.

This role is responsible for designing, 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.

Main Responsibilities:

  • Data Quality Management
  • 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.
  • Engineering & Automation
  • 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.
  • 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.

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

  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

Others

  • Prior experience leading data modernization or AI transformation projects is an asset.

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