Data Engineering Strategist

7 hours ago

Lucknow, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 1,42,41,091 - ₹ 2,51,71,438

Job Title: Data Engineering Strategist

Job Overview:

We are seeking an experienced data engineering leader to drive the development and implementation of high-quality data ingestion and validation processes from multiple upstream systems.

Key Responsibilities:
  • Lead the design and implementation of scalable data pipelines and validation systems across multiple sources.
  • Develop AI-driven tools that identify anomalies and provide early insight into data discrepancies.
  • Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
  • Build and deploy AI models to automate issue detection and enhance data lineage tracking.
  • Collaborate with analysts to incorporate predictive insights and pattern recognition from historical data anomalies.
  • Partner with stakeholders to proactively identify and address reporting gaps or escalations.
  • Ensure auditability and traceability of decisions derived from enriched or corrected data.
  • Cross-functional collaboration with business analysts, data scientists, and engineering teams.
  • Educate non-technical business users on the importance of data quality and automated anomaly detection.
  • 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.
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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