Lead/Staff - Data Engineer

Multiplier
Chennai, Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 8-12 yearsSkills: ["Ownership mindset","Ability to work in ambiguity","Business-first thinking","Stakeholder collaboration","Continuous improvement"]

Own end-to-end data problems and turn raw data into business impact across revenue reconciliation, growth analytics, and decision intelligence. Partner with Product, GTM, Finance, and CX to define KPIs, metrics, and OKRs, ensuring data quality, integrity, and cross-system reconciliation. Build scalable data pipelines and data products using modern data stacks, while leveraging AI tools to automate workflows and ship iterative improvements.

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FursaFursa
Multiplier
Multiplier
1 month ago

Lead/Staff - Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 55 minutes agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Own end-to-end data problems and turn raw data into business impact across revenue reconciliation, growth analytics, and decision intelligence. Partner with Product, GTM, Finance, and CX to define KPIs, metrics, and OKRs, ensuring data quality, integrity, and cross-system reconciliation. Build scalable data pipelines and data products using modern data stacks, while leveraging AI tools to automate workflows and ship iterative improvements.
Location: Chennai, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •Build data products across revenue, product analytics, GTM, and customer experience.
  • •Develop and maintain reliable, scalable data pipelines.
  • •Partner with stakeholders to define and track KPIs, metrics, and OKRs.
  • •Diagnose performance issues and identify growth opportunities.
  • •Ensure data quality, integrity, and cross-system reconciliation while enabling conversational analytics and process visibility.

Pay and Benefits

Perks:Health InsuranceEsopsHybrid

Key Requirements

  • •8 to 12 years of experience in data engineering or analytics with the ability to partner with stakeholders and deliver end-to-end solutions.
  • •Strong SQL skills to work with large datasets and ensure data integrity (non-negotiable).
  • •Proficiency in Python for building pipelines and automating workflows; Spark experience is a plus.
  • •Proven experience designing and maintaining scalable data pipelines.
  • •Solid understanding of data modeling using Data Vault, Inmon, or Kimball.
Experience:8-12 years
Skills:Ownership mindsetAbility to work in ambiguityBusiness-first thinkingStakeholder collaborationContinuous improvement
Tech Stack:SQLPythonSparkAWSDatabricksBigQueryAI toolsClaudeAugmentData VaultInmonKimballSaaSEORPayroll

Company Brief

Multiplier
Provides a Global Human Platform (EOR, global payroll, contractor management and HRIS) that enables companies to hire, onboard, manage and pay teams in 150+ countries while ensuring local compliance and payroll processing.
Industry: HR Tech
Company Size: Large (251 to 1,000 employees)
Revenue: USD 5M to 10M
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: New York, United States
Founded: 2020
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor