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Code: TEAMS-2025-001
Data Engineer Senior

Data Engineer Senior

Especialista en Bigquery/GA4 • Banca y Retail • 6+ años experiencia

Dedication

160h/mo

Full-time • GMT-5

Start

24-72h

SLA 24h response

Guarantee

15 days

48h replacement at no cost

✓ Start in 24–72h

Monthly Rate Staff Augmentation 15-day guarantee

🤝 How Teams Wirbi works

You manage backlog/priorities; Wirbi handles payroll, compliance, replacement and continuity.

You handle:

  • Define backlog and priorities
  • Daily standups and agile rituals
  • Technical direction of the project

We handle:

  • Payroll, benefits and compliance
  • Immediate replacement if needed
  • Continuity and talent management

SLA: 24h response • Weekly check-ins • Monthly feedback

📅 ¿Qué podrías esperar los primeros 10 días?

Día 1-2

Accesos, setup y plan de 30 días

Onboarding completo con tu stack y herramientas

Día 3-5

Baseline de datos y pipeline mínimo

Análisis exploratorio y arquitectura inicial

Día 7-10

Primer entregable medible

POC / dashboard o modelo base funcionando

🎯 Technical/Cultural fit

Adherence 94% (Alta)

Assessed 90 min: GA4/GTM, BigQuery, SQL, Databricks / PySpark, Azure Data Factory / GCP, KPIs y Reporting, Fit

Suitable for: Data Engineer Senior / Analytics Engineer

Time zone: GMT-5

Languages: Español (Nativo), Inglés (Intermedio (B1–B2))

Work mode: Remote, Hybrid

💼 Verified impact cases

GA4 + BigQuery (E-commerce LATAM)

+22% cobertura de eventos

−35% costo BQ • −28% carga BI

GA4 • GTM • BigQuery

Lakehouse en Azure (Retail)

SLA 99.3% pipelines diarios

−40% refresh BI (60→36 min)

Azure Data Factory • Databricks • PySpark

🔒 Handling typical objections

Procurement

Invoicing in USD. Master Service Agreement.

Security

NDA signed, and access controls.

Continuity

Backfill within 48h and ongoing documentation.

Knowledge transfer

Structured knowledge transfer.

💻 Technical stack

CORE — DAILY USE

Bigquery

3+ años en producción

Advanced

GA4

2+ años (GA4/GTM)

Advanced

SQL

6+ años

Advanced

Databricks

2+ años (PySpark)

Advanced

Azure Data Factory

2+ años

Advanced

Power BI

3+ años

Intermediate
Complementary (10+ technologies)
Dataform Delta Lake Looker Studio Airflow Docker Kubernetes Kafka Redis Tableau GTM

💰 Commercial terms

Data Engineer Senior

Monthly Rate

For 160h/month dedicated

Contract

3–12 months, renewable

Start: 24–72h

🛡️

15-day guarantee

No-cost replacement if there is no technical/cultural fit

Data Engineer Senior

160 hours/month • Full-time dedicated

Proceso Teams Wirbi

1

Videollamada inicial

15 min para validar fit

2

Contrato

Envío en 4h

3

Inicio

24-72h integrado

Technical pre-validation

Process of 90 min completed:

GA4/GTM : Modelado de eventos y trazabilidad (10 min)
BigQuery : Modelado, particionamiento y performance (10 min)
SQL : Optimización y calidad de datos (20 min)
Databricks / PySpark : Pipelines y jobs (10 min)
Azure Data Factory / GCP : Orquestación ETL/ELT (15 min)
KPIs y Reporting : Power BI / Looker (15 min)
Fit : Cultural (10 min)

Active certifications:

GCP Data Engineer Azure Data Engineer AWS Data Engineer Google Cloud Data Engineering
Monthly Rate 160h/mo