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Senior Data DevOps (Machine Learning) Job Opening In WorkFromHome – Now Hiring EPAM Systems


Job description

1 week ago Be among the first 25 applicants

EPAM is a leading global provider of digital platform engineering and development services.

We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that involves the development and deployment of large-scale data processing pipelines.
In this position, you will play a critical role in designing, implementing, and maintaining the infrastructure that enables data processing, storage, and analysis.

You will work with a team of experienced professionals, tackling complex challenges and driving innovation in the field of data engineering.

If you are passionate about DevOps and have a solid understanding of data processing technologies, we invite you to apply for this exciting opportunity.
Responsibilities

  • Design, implement, and maintain data processing pipelines using technologies
  • Develop and maintain CI/CD pipelines for data processing applications, ensuring efficient and reliable deployment
  • Implement and manage containerization technologies to enable scalable and flexible infrastructure
  • Collaborate with data scientists and analysts to design and implement data storage and retrieval solutions
  • Ensure the security and availability of data processing infrastructure, implementing best practices for data protection and disaster recovery
  • Monitor and troubleshoot data processing pipelines and infrastructure, identifying and resolving issues in a timely manner
  • Continuously improve data processing infrastructure, staying up-to-date with the latest technologies and industry trends

Requirements

  • A minimum of 3 years of experience in DevOps, with a focus on data engineering and infrastructure management
  • Expertise in CI/CD processes and tools, including Git, Jenkins, and TeamCity
  • Hands-on experience with containerization technologies such as Docker and Kubernetes, as well as container orchestration tools like Amazon ECS or Kubernetes
  • In-depth knowledge of Amazon Web Services (AWS), including EC2, S3, and Lambda
  • Strong proficiency in Linux system administration and shell scripting
  • Experience with infrastructure as code tools such as Terraform, Ansible, or CloudFormation
  • Familiarity with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for log management and analysis
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment
  • Fluent spoken and written English at an Upper-Intermediate level or higher (B2+)

Nice to have

  • Experience with other cloud providers such as Google Cloud Platform or Microsoft Azure
  • Experience with Big Data technologies such as Hadoop, Hive, and Pig
  • Familiarity with configuration management tools such as Chef or Puppet
  • Knowledge of scripting languages such as Python or Ruby

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering, Information Technology, and Business Development
  • Industries

    Software Development, IT Services and IT Consulting, and Retail

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Required Skill Profession

Desarrollo De Software


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EPAM Systems adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Senior Data DevOps (Machine Learning) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data DevOps (Machine Learning) typically include Desarrollo De Software and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data DevOps (Machine Learning) Job Success

EPAM Systems interview tips for Senior Data DevOps (Machine Learning)

Here are some tips to help you prepare for and ace your Senior Data DevOps (Machine Learning) job interview:

Before the Interview:

Research: Learn about the EPAM Systems's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Senior Data DevOps (Machine Learning) interview at EPAM Systems, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EPAM Systems's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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