Senior Manager Data Engineering

2 days ago

Hubli, Karnataka, India beBeeDataEngineering Full time ₹ 1,60,00,000 - ₹ 2,12,00,000
Data Engineering Lead Position OverviewWe are currently seeking a highly experienced and skilled Data Engineering Lead to join our organization. This role is responsible for designing, developing, 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 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.
  • Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
  • Build and deploy AI models to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.
  • Collaborate with business analysts to incorporate predictive insights and pattern recognition from historical data anomalies.
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.
  • Strong interpersonal and communication skills to work with executive stakeholders and distributed teams.
Preferred Attributes:
  • Experience leading data modernization or AI transformation projects.
  • Prior exposure to dashboard adoption challenges and enterprise change management.

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