Company:
Money Fit by DRS
Location: Los Angeles
Closing Date: 27/10/2024
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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