Data Engineer

hace 1 semana

Bogotá, Bogotá D.E., Colombia BruntWork A tiempo completo
Job Title: Data Engineer

This is a remote position with a flexible schedule, allowing you to work from anywhere. As a Data Engineer at BruntWork, you will play a crucial role in enhancing and streamlining data structures and delivery to our Microsoft-driven platform's UI.

Key Responsibilities:
  • Design, build, and maintain efficient data pipelines using Azure Data Factory, Azure SQL, and Power BI to ensure structured, clean, and accessible data from various sources.
  • Collaborate with data analysts to optimize pipelines for analytics, ensuring clean, structured data is readily available for insights.
  • Work closely with UI/UX and front-end development teams to integrate data effectively into the user interface, improving data presentation.
  • Leverage Microsoft technologies to manage and visualize data effectively, ensuring smooth interaction between the backend and front-end systems.
  • Implement robust ETL processes using Azure Data Factory and other Microsoft solutions to manage data flow from various sources into the platform.
  • Ensure data integrity, accuracy, and security across the platform's data pipelines through established quality measures.
  • Proactively troubleshoot data pipelines and resolve data-related issues, ensuring consistent, high-quality data delivery.
  • Collaborate with cross-functional teams to align data engineering efforts with business and platform goals.
Requirements:
  • Proven experience as a Data Engineer or in a similar role, with expertise in working on Microsoft-based platforms.
  • Strong proficiency with SQL and experience working with Microsoft databases like Azure SQL or SQL Server.
  • Hands-on experience with Azure Data Factory, Azure Synapse, Power BI, or similar Microsoft tools for data integration and visualization.
  • Experience in programming languages like Python,.NET, or PowerShell for data processing.
  • Familiarity with cloud platforms, specifically Microsoft Azure, including storage solutions like Azure Data Lake.
  • Strong understanding of ETL processes, data modeling, and data warehousing principles within Microsoft environments.
  • Ability to troubleshoot and resolve data-related issues in a timely manner.
  • Excellent communication skills for collaborating with cross-functional teams.
Preferred Qualifications:
  • Experience with front-end data integration using Microsoft technologies, such as Power BI or custom dashboards built on Microsoft frameworks.
  • Familiarity with CI/CD practices and DevOps tools within the Azure ecosystem.
  • Knowledge of data visualization libraries and frameworks compatible with Microsoft technologies.
  • Understanding of machine learning pipelines and data-driven decision-making models in a Microsoft environment.
Benefits:
  • Permanent work from home.
  • Immediate hiring.
  • Steady freelance job.

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