[8AD] Data Engineer

Software Mind Americas

About The Position

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Requirements

  • Power BI (must-have): semantic models, DAX, report definitions authored as PBIP with .pbix deployment, incremental refresh, query folding, and troubleshooting model performance issues (e.g., refresh/XMLA timeouts).
  • Azure Synapse (must-have): notebooks, pipelines, triggers, and workspace management; source-side query optimization.
  • Strong SQL for data validation, transformation, and troubleshooting.
  • PowerShell scripting, with comfort working across common modules (e.g., Az, MicrosoftPowerBIMgmt) for deployment and operational tasks.
  • Familiarity with Azure Functions/function apps and CI/CD deployment workflows.
  • Experience with Azure DevOps (work item tracking) and Git/GitHub (branching, pull requests).

Nice To Haves

  • Senior-level experience preferred, with strong proficiency across this specific tech stack and the ability to work with a high degree of autonomy.

Responsibilities

  • Design and implement Infrastructure as Code (IaC) using Terraform to automate and manage infrastructure across Azure and Cloudflare, ensuring consistent and scalable deployments.
  • Oversee PostgreSQL DB operations and automate DB-related tasks to streamline database management.
  • Deploy and configure message queues to facilitate efficient data processing and communication between services.
  • Develop and maintain CI/CD pipelines using GitHub Actions, automating the software delivery process to improve deployment efficiency.
  • Ensure security across the infrastructure, enforcing RBAC practices and applying best practices for compliance and security within the DevOps lifecycle.
  • Implement and maintain monitoring and observability solutions to track and optimize system performance, identify bottlenecks, and maintain system health.
  • Quickly diagnose and resolve any infrastructure- related issues, ensuring minimum disruption to our services.
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