We are looking for a Data Engineer III to join our Data Engineering team. In this role, you will design, develop, and optimize scalable data platforms and pipelines on Microsoft Azure, enabling analytics, reporting, and business intelligence across the organization.
Key Responsibilities
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Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
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Develop modern data solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL.
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Design and optimize data models for analytics and reporting.
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Build and maintain cloud-native data architectures following Azure best practices.
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Develop reusable data ingestion, transformation, and orchestration frameworks.
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Create and maintain CI/CD pipelines for data solutions using Azure DevOps Pipelines.
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Collaborate with Data Analysts, Data Scientists, Software Engineers, and business stakeholders.
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Monitor, troubleshoot, and optimize data pipelines for reliability and performance.
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Ensure data quality,
governance, security, and compliance across the data platform.
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Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Required Technical Skills
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5+ years of experience in Data Engineering.
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Strong experience with:
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Azure Data Factory (ADF)
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Azure Databricks
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Azure Synapse Analytics
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Azure SQL Database
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Advanced SQL skills.
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Strong programming experience in Python.
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Experience building and maintaining Azure DevOps Pipelines.
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Strong understanding of CI/CD and DevOps practices for data platforms.
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Experience with Git and source control.
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Knowledge of data warehousing concepts and dimensional modeling.
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Experience designing scalable data pipelines and orchestration workflows.
Preferred Qualifications
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Experience with Spark and PySpark.
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Experience with Delta Lake and Lakehouse architectures.
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Experience with Azure Dat
📌 Data Engineer III (Argentina)
🏢 S3 Int
📍 Argentina
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