Big Data DevOps Engineer

We are looking for a skilled Big Data DevOps Engineer with profound knowledge of cloud technologies and experience with a variety of data tools and platforms.

The ideal candidate will have proven experience in managing and optimizing big data operations across cloud environments.

Responsibilities

  • Cloud Solutions Development: Build, deploy, and maintain scalable and secure big data solutions across major cloud platforms (AWS, Azure, Google Cloud) to support advanced data processing and analytics
  • Data Tools Management: Configure and manage data processing tools such as Apache Spark, Kafka, Airflow, and Databricks to efficiently handle large-scale data workflows
  • Automation and CI/CD: Utilize Terraform for infrastructure as code, automate workflows with Jenkins, and maintain code with GitLab for continuous integration and continuous delivery processes
  • Performance Optimization: Monitor and optimize the performance of big data tools and cloud platforms, ensuring cost-effectiveness and operational efficiency
  • Security and Compliance: Implement and enforce data security measures, ensuring compliance with data protection regulations and best practices in cloud environments
  • Collaborative Development: Work collaboratively with data scientists, data engineers, and other stakeholders to understand requirements and deliver high-quality data solutions

Requirements

  • Strong experience with big data technologies, particularly Apache Spark or Databricks
  • Extensive background in cloud services administration with platforms like AWS, Azure, or Google Cloud
  • In-depth knowledge of infrastructure as code using Terraform
  • Proficiency in implementing CI/CD pipelines with tools such as Jenkins, GitLab or GitHub Actions
  • Solid scripting skills in Python, Scala, or similar languages
  • Experience with SQL and relational/non-relational databases
  • Excellent problem-solving abilities and a team-oriented attitude

Nice to have

  • Certifications in cloud technology (e.g., AWS Certified Solutions Architect, Google Cloud Certified Professional Cloud Architect)
  • Additional experience with real-time data processing tools like Apache Kafka

Benefits

We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events

We invest in your growth:

  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers

We cover it all:

  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Discounts for fitness clubs and sports programs
  • Benefits package (sports activities, a variety of stores and services)

See also

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