Senior Lakehouse Engineer - Data Quality & Fabric

Goods & Services

México

A distancia

MXN 900.000 - 1.300.000

Jornada completa

Hace 11 días
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Descripción de la vacante

Goods & Services is seeking a Senior Data Platform Engineer to lead hands‑on implementation, maintenance, and support of modern lakehouse platforms with a focus on Microsoft Fabric / OneLake. You will translate business needs into reliable data products and ensure data quality, monitoring, and performance across engagements.

You will work with Solution Architects to follow platform standards, participate in end‑to‑end lifecycle, and support analytics/BI teams for reporting needs across multiple

Formación

  • 5+ years in BI, data warehousing, or lakehouse projects.
  • Proficient in Python or Spark-based transformations and SQL.
  • Experience with Microsoft Fabric or similar cloud data environments.
  • Understanding of Delta tables and dimensional modeling (grain/keys).
  • Able to manage full development lifecycle and troubleshoot performance.

Responsabilidades

  • Design and build data ingestion and orchestration components for lakehouse platforms.
  • Implement data quality checks, monitoring, and root-cause analysis for pipelines.
  • Develop Silver/Gold transformation layers for reliable data products.
  • Operate platform components, schedules, alerts, and maintain docs.
  • Collaborate with analytics/BI teams to support reporting needs and adoption.
  • Translate business requirements into reliable data products.

Conocimientos

Python
Spark
SQL

Herramientas

Microsoft Fabric
Power BI

Descripción del empleo

Goods & Services is seeking a Senior Data Platform Engineer to lead hands‑on implementation, maintenance, and support of modern lakehouse platforms with a focus on Microsoft Fabric / OneLake. You will translate business needs into reliable data products and ensure data quality, monitoring, and performance across engagements.

You will work with Solution Architects to follow platform standards, participate in end‑to‑end lifecycle, and support analytics/BI teams for reporting needs across multiple

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