Chief Data Engineer

9 hours ago

Udaipur, Rajasthan, India beBeeDataEngineer Full time ₹ 90,00,000 - ₹ 1,20,00,000

Analytics professionals with a passion for engineering are sought after to drive business insights and decision-making.

About the Role

This is an exciting opportunity to lead a team of analysts and engineers in delivering high-quality analytics solutions. The successful candidate will be responsible for architecting and overseeing datamarts and curated data views across domains, establishing data modeling best practices, documentation, and governance, as well as mentoring team members on SQL and data engineering patterns.

Key Responsibilities:

  1. Data 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.
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 SLAs.
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.
ML Deployment & Maintenance
  • Lead the deployment and monitoring of batch-based ML models.
  • Define standards for model execution, monitoring, and retraining workflows.
  • Collaborate with model builders for smooth model-to-production handoff.
Automation & SLAs
  • Define and enforce SLAs for data, dashboard, and BRE changes.
  • Introduce automated solutions using tools like GenAI, n8n, dbt, CI/CD.
  • Continuously improve efficiency of analytics delivery.
Team Leadership
  • Lead a small team (2–4 analysts/engineers) with responsibility for prioritization, quality, and development.
  • Conduct regular reviews, mentorship, and skill development.
  • Act as the bridge between business stakeholders and the analytics team.
Qualifications:
  • A minimum of 5 years of experience in analytics engineering / BI / data platforms.
  • Advanced SQL, data modeling, and pipeline orchestration skills.
  • Strong BI expertise (Tableau, PowerBI, Looker, or equivalent).
  • Hands-on experience with ML 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.

The ideal candidate will have a strong understanding of data engineering principles, excellent communication skills, and the ability to work effectively in a team environment.

This role requires a 5-day work-from-office commitment in Brookfield, Bengaluru.

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