Remote Data Engineer - Power BI, SQL & Data Pipelines

Agileengine, Llc.

Buenos Aires

A distancia

ARS 1.800.000 - 2.800.000

Jornada completa

Hace 3 días
Sé de los primeros/as/es en solicitar esta vacante

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Relocation possible

Descripción de la vacante

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, deploy, and maintain automated data transformation pipelines leveraging a range of storage and compute technologies for diverse data types and volumes. You will support data architecture design and contribute to scalable data products.

Ideal candidates hold a BS in CS or related field, 5+ years in data engineering, and hands-on experience with ETL, cloud data platforms, and data warehousing

Formación

  • BS in Computer Science, MIS, Computer Engineer or related field or equivalent experience.
  • +5 years in Data Engineer Role
  • Knowledge and/or experience with data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
  • Analytical thinking, Consulting, Critical Thinking

Responsabilidades

  • Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
  • Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
  • Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
  • Responsible for normalizing and ingesting data from multiple sources.
  • Enable data scientists, making data available for advanced analytics models, and contributing to models.
  • Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
  • Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Conocimientos

Analytical thinking
Consulting
Critical Thinking

Educación

BS in Computer Science or related field

Herramientas

Azure Data Factory
Databricks
DevOps
CI/CD Pipeline Deployment
Python
Java
Ansible
Azure SQL
Azure Synapse
Git
ADO
Azure Data Lake
Azure Analysis Services
Logic Apps
Microsoft Data Flows
Kimball Data Warehousing Methodology

Descripción del empleo

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, deploy, and maintain automated data transformation pipelines leveraging a range of storage and compute technologies for diverse data types and volumes. You will support data architecture design and contribute to scalable data products.

Ideal candidates hold a BS in CS or related field, 5+ years in data engineering, and hands-on experience with ETL, cloud data platforms, and data warehousing

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