DevOps Engineer

Company:  Money Fit by DRS
Location: Los Angeles
Closing Date: 24/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Description

DevOps Engineer

Work location: Los Angeles, CA / Dallas, TX.

Job Summary: We are seeking a skilled DevOps Engineer to join our technology team, focusing on automating and optimizing our data engineering pipelines. The ideal candidate will have a strong background in software development, automation of CI/CD using Jenkins in data platforms like Databricks and Snowflake. You will play a crucial role in developing and enhancing CI/CD pipelines, automating tasks, and ensuring seamless data operations across our platforms.

Key Responsibilities:

  • Develop and enhance CI/CD pipelines using Jenkins to automate and streamline deployment processes.
  • Write and maintain scripts in Groovy to support automation and integration tasks.
  • Utilize REST APIs to integrate different systems and services, and process JSON responses effectively using Python.
  • Work closely with data engineering teams to understand their DevOps needs and implement solutions that enhance data workflow efficiencies.
  • Deploy datahub jobs using Jenkins pipeline.
  • Collaborate with development and operations teams to ensure system reliability, security, and efficiency.
  • Stay updated with the latest industry trends and technologies and apply insights to improve existing systems and workflows.

Qualifications:

  • Proven experience as a DevOps Engineer or similar role with a focus on data engineering platforms.
  • Strong programming skills in Groovy, Python, and experience in Jenkins and CI/CD practices.
  • Experience with REST APIs and data manipulation, particularly JSON.
  • Familiar with Databricks and Snowflake.
  • Strong problem-solving skills, attention to detail, and ability to work in a collaborative team environment.
  • Excellent verbal and written communication skills.
  • This role is perfect for someone passionate about automation, data flow, and continuous improvement in data operations environments.

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