Senior Data Engineer – Azure ETL & Analytics

Fullstack

Quilmes

Remoto

ARS 1.200.000 - 2.400.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

EY Global Delivery Services in Buenos Aires seeks a Senior Data Engineer to design and optimize data pipelines, collaborate with global teams, and deliver analytics-ready data architectures. The role emphasizes Azure-based data platforms, ETL, and data warehousing, with client-facing engagement and cross-functional delivery.

The ideal candidate brings 5+ years in data engineering, strong SQL/ETL, and experience with Azure Data Factory, Databricks, and Power BI to enable scalable data solutions

Competenze

  • 5+ years in Data Engineer roles with data ingestion, prep and analytics execution.
  • Experience with Azure Data Factory/ETL tools and cloud data platforms.
  • Strong SQL Server and data modeling skills in data warehouse contexts.

Mansioni

  • Design, build, and optimize end-to-end data pipelines and data lake/warehouse components.
  • Collaborate with PMs, seniors and clients to define data solutions.
  • Develop, maintain, and optimize data layer components and ETL packages.
  • Work with Power BI and BI teams to deliver analytics-ready data.
  • Communicate effectively with IT leaders on program strategies and plans.

Conoscenze

SQL Server
Azure Data Factory
Python
PySpark / Spark SQL
Data Modeling
ETL pipelines
Power BI
Azure SQL
Data warehousing
Communication

Formazione

BS in Computer Science or related

Strumenti

Databricks
SSIS
Git
CI/CD
Azure Synapse

Descrizione del lavoro

EY Global Delivery Services in Buenos Aires seeks a Senior Data Engineer to design and optimize data pipelines, collaborate with global teams, and deliver analytics-ready data architectures. The role emphasizes Azure-based data platforms, ETL, and data warehousing, with client-facing engagement and cross-functional delivery.

The ideal candidate brings 5+ years in data engineering, strong SQL/ETL, and experience with Azure Data Factory, Databricks, and Power BI to enable scalable data solutions

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