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Data Engineering & Analytics

Data Engineering

UCI:2031.1

Length
14 weeks
Training hours
385

Objectives

  • Build and manage data pipelines: Automate data ingestion, transformation, and integration using Python, SQL, and ETL tools.
  • Analyze and visualize data effectively: Perform in-depth analysis and communicate insights through clear, impactful visualizations that drive data-informed decisions.
  • Support scalable and secure data operations: Apply best practices in data governance, privacy, and scalability to maintain secure and efficient data workflows.

Employment roles

  • Big Data Engineer
  • Data Engineer
  • ETL Developer
  • Junior Data Engineer
  • Python Developer

Software and platforms

  • Git
  • Microsoft Office 365
  • Slack
  • Zoom
  • Apache Spark
  • MySQL Workbench
  • Python
  • Tableau
  • Ubuntu / Linux image
  • VirtualBox
  • MySQL Community Server

Talent Solutions Partners With You to Deliver:

  • A robust pipeline of skilled, diverse professionals. Fill open roles immediately, develop customized talent cohorts for specialty skills, or upskill and reskill current employees.
  • Professionals are equipped with skills like communication, presentation of complex ideas, and the ability to collaborate so they add value immediately thanks to our Professional Development courses.
  • Through continued training and support for our Professionals, Per Scholas continues supporting alumni in their new roles, building toward your success, and generating higher staff retention for your company.

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