Invixon Technologies - Irving, TX

posted 6 days ago

Full-time
Irving, TX

About the position

The Data Engineer position focuses on designing, building, and testing data pipelines across cloud and on-premise environments, utilizing Azure Databricks for data processing. The role involves collaboration with cloud architects and tech leads to facilitate the migration of on-premise data to Databricks, while also developing reference architectures and design patterns for cloud-based solutions.

Responsibilities

  • Design, build, and test cross cloud and on-premise data pipelines using Azure Databricks.
  • Collaborate with cloud architects and tech leads for on-premise to Databricks migration.
  • Understand and automate data pipelines using cloud-based and on-premise technologies.
  • Develop reference architectures and design pattern libraries for cloud-based solutions.
  • Advise on cloud project setup, security, role-based access implementation, and network optimizations.

Requirements

  • 10 years of experience in data engineering.
  • 2+ years of experience with SQL and database table design, capable of writing structured and efficient queries on large datasets.
  • 1-2 years of experience on Databricks on any cloud platform (AWS, Azure).
  • 1-2 years of experience working on AWS/Azure cloud.
  • 1-2 years of design and/or implementation of enterprise applications.
  • Experience in migrating on-premise workloads to leading public cloud(s).
  • Experience in AGILE development, SCRUM, and Application Lifecycle Management (ALM) with scripting experience in Python and shell.
  • Hands-on experience in the full life-cycle of software development methodologies using Agile Scrum/Kanban.

Nice-to-haves

  • Databricks certifications.
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