Senior Data Engineering Strategist

1 day ago


Davangere, Karnataka, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000

Job Title: Senior Data Engineering Strategist

Description – Lead the development and implementation of high-quality data ingestion, validation, and quality control processes using AI-enhanced frameworks.

We are seeking a seasoned data engineering leader with a strong foundation in data pipelines, data validation, and AI-enhanced quality frameworks to join our team. This role is responsible for building and maintaining scalable data pipelines and validation processes from multiple upstream systems while laying the foundation for AI-driven anomaly detection, business insight extraction, and reporting solutions.

  • Data Quality Management
  • Design and Implement Scalable Data Quality Validation Systems across multiple sources using technologies like Snowflake, Beeline, Excel logs.
  • Develop AI-Driven Tools for Anomaly Detection and provide early insight into data discrepancies.

Key Responsibilities:

  • 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.
  • Cross-Functional Collaboration
  • Work closely with business analysts, data scientists, and engineering teams to align system architecture with business needs.

Team Leadership & Optimization:

  • Lead a small, distributed team, mentoring junior engineers and analysts.
  • Optimize Headcount through AI Augmentation, enabling skilled team members to focus on higher-value initiatives.

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 and ETL/ELT processes.
  • Experience with AI/ML in Data Quality (anomaly detection, NLP-driven validation, etc.).

Preferred Attributes:

  • Experience leading data modernization or AI transformation projects.

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