Multiplier

3 days ago

Lead/Staff - Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

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: 4.3

Website LinkedIn Glassdoor

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Multiplier

3 days ago

Lead/Staff - Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

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: 4.3

Website LinkedIn Glassdoor