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Big Data DevOps Engineer

EPAM Systems

Role overview

Qualifications

  • 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

Responsibilities

  • Build, deploy, and maintain scalable and secure big data solutions across major cloud platforms (AWS, Azure, Google Cloud)
  • Configure and manage data processing tools such as Apache Spark, Kafka, Airflow, and Databricks
  • Utilize Terraform for infrastructure as code, automate workflows with Jenkins, and maintain code with GitLab
  • Monitor and optimize the performance of big data tools and cloud platforms

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

Links

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Job description

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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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