Description

Job Description:

Responsibilities

Architecture and Design:

  • Provide input into the strategic technology direction for our data platform.
  • Architect scalable and efficient data solutions using Azure Databricks.

Data Pipelines and Integration:

  • Design, implement, and manage data pipelines.
  • Ensure seamless data integration across various systems.
  • Optimize data processing workflows.

Infrastructure Automation:

  • Develop Terraform Infrastructure as Code (IaC) to automate Databricks environment deployments.
  • Create a library of scripts for automating MLOps environments.

Performance Monitoring and Tuning:

  • Monitor and analyze database performance.
  • Fine-tune and optimize the data platform.

Collaboration and Communication:

  • Work closely with interdisciplinary teams, including engineers, data scientists, and business stakeholders.
  • Communicate effectively to ensure alignment with business goals.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proven experience as a Platform Engineer or similar role.
  • Strong expertise in Databricks and Microsoft Azure.
  • Experience with Infrastructure as Code (IaC) and automation tools, preferably Terraform.
  • Knowledge of data catalog tools (e.g., Microsoft Purview).
  • Excellent problem-solving skills and ability to work in a collaborative environment

 

Skill: "Platform Engineer" AND Azure AND Databricks AND IAC


 

Education

Bachelor's degree