Lead Data Engineer

Nearsure is a staff augmentation company that values people and culture, offering remote work opportunities from Latin America for US clients.
Latin America
Data
Senior Software Engineer
Remote
5+ years of experience
Enterprise SaaS

Description For Lead Data Engineer

We are seeking a highly skilled Lead Data Microsoft Fabric Engineer to join our team. In this role, you will be pivotal in designing, developing, and optimizing our data infrastructure and platforms. You will lead the team in implementing scalable and efficient data solutions that support our business objectives. The ideal candidate will possess a strong background in SQL, ETLs, and data visualization tools, particularly within the Microsoft ecosystem, working in Microsoft Fabric.

Key Responsibilities:

  • Design, develop, and maintain scalable data architectures using SQL, stored procedures, and ETL processes.
  • Ensure robust data pipelines and efficient data flow across systems.
  • Create and manage interactive and insightful dashboards using Power BI.
  • Collaborate with data analysts to translate business requirements into actionable data insights.
  • Oversee the management and optimization of data warehouse environments, ensuring data integrity and performance.
  • Utilize Azure DevOps for code deployment and continuous integration.
  • Ensure seamless integration of data solutions within the existing infrastructure.
  • Develop technical roadmaps and prototypes for data engineering projects.
  • Stay up to date with the latest trends and best practices in data engineering.
  • Convene with various stakeholders to collect, document, and prioritize their needs, including data sources and priority levels.

Requirements:

  • Bachelor's Degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience working with Microsoft SQL and data engineering.
  • 5+ years of experience managing data warehouse environments working with star schema architecture or data lake environments.
  • 3+ years of experience working with Python.
  • 3+ years of experience working with Power BI.
  • 3+ years of experience working with ETL processes over SSIS.
  • 2+ years of experience working with Azure Data Factory AND/OR Azure Synapse Analytics.
  • 1+ years of experience working with Power BI Report Builder or SSRS.
  • Microsoft Certification DP600 – Fabric Analytics Engineer Associate
  • Experience with Azure DevOps for code deployment.
  • Advanced English level is required for this role as you will work with US clients.

Benefits:

  • USD salary compensation
  • 100% remote work with optional access to coworking spaces across LATAM
  • Paid time off according to your country's law
  • National holidays
  • Sick or medical leave
  • Refundable annual credit for perks
  • Team building activities
  • Birthday week day off

Join Nearsure to work remotely from Latin America, gain cross-cultural expertise, and improve your English skills with daily communication in English.

Last updated 23 days ago

Responsibilities For Lead Data Engineer

  • Design and develop scalable data architectures
  • Ensure robust data pipelines
  • Create and manage Power BI dashboards
  • Collaborate with data analysts
  • Oversee data warehouse environments
  • Utilize Azure DevOps for deployment
  • Develop technical roadmaps
  • Stay updated with latest trends in data engineering

Requirements For Lead Data Engineer

Python
Kubernetes
  • Bachelor's Degree in Computer Science or related field
  • 5+ years experience with Microsoft SQL and data engineering
  • 5+ years managing data warehouse environments
  • 3+ years experience with Python
  • 3+ years experience with Power BI
  • 3+ years experience with ETL processes over SSIS
  • 2+ years experience with Azure Data Factory or Azure Synapse Analytics
  • 1+ years experience with Power BI Report Builder or SSRS
  • Microsoft Certification DP600
  • Experience with Azure DevOps
  • Advanced English level

Benefits For Lead Data Engineer

Medical Insurance
Parental Leave
  • USD salary compensation
  • 100% remote work
  • Paid time off
  • National holidays
  • Sick or medical leave
  • Refundable annual credit for perks
  • Team building activities
  • Birthday week day off

Interested in this job?

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