Data Engineer

4 weeks ago


Lehi, Utah, United States Tech9 Full time
Job Overview

Tech9 is seeking a highly skilled Data Engineer to lead the migration of data from legacy systems to Azure-based infrastructure. This role will involve designing and implementing dimensional modeling and data warehousing solutions using DBT, Python, and other technologies.

Key Responsibilities:

  • Lead the migration of data from legacy systems to Azure-based infrastructure using Databricks, PowerBI, and related cloud tools.
  • Design and implement dimensional modeling and data warehousing solutions using DBT, Python, and other technologies.
  • Manage ETL pipelines, ensuring secure, reliable, and scalable data transfer using DBT, Databricks notebooks, and REST APIs.
  • Support reporting and analytics efforts using PowerBI, developing semantic layers, SQL endpoints, and lakehouse structures in Microsoft PowerBI Fabric.
  • Collaborate closely with outsourced vendors and internal team members, ensuring smooth project delivery and knowledge transfer.
  • Lead efforts to modernize data workflows and implement CI/CD pipelines using Microsoft DevOps, Terraform, and Python automation.
  • Enable data accessibility and insights for global data stewards and other departments by establishing robust reporting structures.
  • Participate in Agile/sprint planning, ensuring alignment with two-week sprint cycles, making commitments, and delivering on them.
  • Communicate effectively with contractors and internal teams, maintaining high standards of technical English.

Requirements:

  • Cloud Technologies: Strong experience with Microsoft Azure (Data Lake, Azure Synapse, etc.), Databricks, and Azure DevOps for CI/CD.
  • Data Warehousing: Proven expertise in data warehousing methodologies, dimensional modeling, and ETL processes. Experience with DBT for managing ETL workloads.
  • Programming & Automation: Proficiency in Python for data extraction and automation tasks, particularly in conjunction with REST APIs and CI/CD workflows.
  • Reporting & Visualization: Advanced experience with PowerBI, including building semantic models, working with PowerBI Fabric, SQL endpoints, and migrating from on-prem SSRS to PowerBI Service.
  • Collaboration & Communication: Excellent English communication skills and proven ability to work in Agile environments. Experience working with outsourced vendors and internal stakeholders in a collaborative manner.
  • Senior-Level Experience: A seasoned professional with a track record of successfully delivering complex cloud migration projects, ideally without needing extensive onboarding or guidance.

Interview Process:

  1. 30-minute screening with a member of our Recruitment team
  2. 1-hour google meet/Zoom technical interview with one of our principal engineers
  3. 30-minute managerial google meet/Zoom behavioral interview with our Hiring Manager
  4. 1-hour technical interview with the client


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