Data Engineer

2 days ago

Bengaluru, Karnataka, India beBeeAnalytics Full time ₹ 1,00,00,000 - ₹ 2,50,00,000

Job Opportunity

Simplify financial life with a cutting-edge money management app that tracks expenses across multiple accounts and offers instant loans. We are seeking an Analytics Engineering & Automation Lead to oversee datamarts, dashboards, business rules, and ML deployment pipelines.

The role involves owning process automation, SLAs, and governance for a reliable analytics ecosystem. Key responsibilities include analytical engineering, dashboarding & visualisation, business rule engines (BREs), ML deployment & maintenance, automation & SLAs, and team leadership.

About the Role

  • 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.

Key Responsibilities

  • 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.

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.

Requirements

  • 5–8 years of experience in analytics engineering / BI / data platforms.
  • Advanced SQL, data modeling, and pipeline orchestration experience.
  • Strong BI expertise (Tableau, PowerBI, Looker, or equivalent).
  • Hands-on 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.

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