Strategic Data Engineering Leader

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
">About the Position

We are seeking an expert Data Engineer & Automation Specialist to design and scale data platforms, dashboards, business rules, and machine learning deployment pipelines. This individual will own process automation, service level agreements, and governance to ensure a reliable, future-ready analytics ecosystem.

Key Responsibilities:

  • 1. Data Platform Engineering
    • Architect and oversee datamarts and curated data views across domains.
    • Establish data modeling best practices, documentation, and governance.
    • Mentor team members on SQL and data engineering patterns.
  • 2. Dashboarding & Visualization
    • Drive dashboard standards, governance, and usability across business teams.
    • Lead the design of executive-level and operational dashboards.
    • Manage a backlog of dashboard requests with clear service level agreements.
  • 3. Business Rule Engines (BREs)
    • Own the design and governance of production rule engines for credit/fraud policies.
    • Ensure scalable, tested, and version-controlled deployment of rules.
    • Partner with Risk/Policy/Product teams for agile implementation.
  • 4. Machine Learning Deployment & Maintenance
    • Lead the deployment and monitoring of batch-based machine learning models.
    • Define standards for model execution, monitoring, and retraining workflows.
    • Collaborate with model builders for smooth model-to-production handoff.
  • 5. Automation & SLAs
    • Define and enforce service level agreements for data, dashboard, and BRE changes.
    • Introduce automated solutions using tools like GenAI, n8n, dbt, CI/CD.
    • Continuously improve efficiency of analytics delivery.

Required Skills and Qualifications:

  • 5–8 years of experience in data engineering / BI / data platforms.
  • Advanced SQL, data modeling, and pipeline orchestration experience.
  • Strong business intelligence expertise (Tableau, PowerBI, Looker, or equivalent).
  • Hands-on with machine learning model deployment (batch pipelines, monitoring, scheduling).
  • Familiarity with cloud platforms (BigQuery, Snowflake, GCP/AWS/Azure).
  • Experience with workflow automation (Airflow, dbt, n8n, CI/CD).
  • Prior experience in leading small teams and stakeholder management.

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