Lead Data Engineer

A remote staff augmentation company that values people and culture, offering opportunities to work for US clients from 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 at Nearsure. 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.

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.

Required Skills and Experience:

  • 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.
  • Experience with Azure DevOps for code deployment.
  • Microsoft Certification DP600 – Fabric Analytics Engineer Associate is preferred.
  • Advanced English level is required for this role as you will work with US clients.

Benefits:

  • 100% remote work with options to visit coworking spaces across Latin America.
  • Paid time off according to your country's law.
  • Your country's national holidays.
  • Sick or medical leave when needed.
  • Refundable annual credit for your favorite perks.
  • Team building activities such as coffee breaks, tech talks, and after-work gatherings.
  • A day off during your birthday week.

Join Nearsure to work alongside top Latin American talent, gain cross-cultural expertise, and improve your English skills while working on exciting projects for US clients. Apply now to be part of our amazing team!

Last updated 2 months ago

Responsibilities For Lead Data Engineer

  • Design and develop scalable data architectures
  • Ensure robust data pipelines and efficient data flow
  • Create and manage interactive dashboards using Power BI
  • Collaborate with data analysts on business requirements
  • Oversee data warehouse environments
  • Utilize Azure DevOps for code deployment
  • Develop technical roadmaps for data engineering projects
  • Stay updated with latest trends in data engineering

Requirements For Lead Data Engineer

Python
Kubernetes
  • 5+ years of experience with Microsoft SQL and data engineering
  • 5+ years of experience managing data warehouse environments
  • 3+ years of experience with Python
  • 3+ years of experience with Power BI
  • 3+ years of experience with ETL processes over SSIS
  • 2+ years of experience with Azure Data Factory or Azure Synapse Analytics
  • 1+ years of experience with Power BI Report Builder or SSRS
  • Experience with Azure DevOps
  • Advanced English level
  • Microsoft Certification DP600 (preferred)

Benefits For Lead Data Engineer

  • Paid time off
  • Flexible work environment
  • Remote work options
  • Professional development opportunities
  • Team building activities

Interested in this job?

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