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Senior Build Engineer (Data DevOps)

Remote in Argentina,
& 5 others
Data DevOps
& 6 others

We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that leverages the latest technologies in Azure Data Factory, Azure DevOps, and Databricks.

In this position, you will play a critical role in designing, building, and deploying data pipelines, ensuring the reliability, scalability, and performance of our data systems. This is a unique opportunity to work on a project that has a significant impact on our business and the industry, collaborating with a team of talented professionals.

Responsibilities
  • Design, build, and deploy data pipelines using Azure Data Factory, Databricks, and other related technologies
  • Automate data operations using Python or Java, ensuring the reliability and scalability of data systems
  • Collaborate with cross-functional teams to understand business requirements and design data solutions that meet those needs
  • Implement DataOps and MLOps practices, ensuring the quality and accuracy of data systems
  • Monitor and troubleshoot data pipelines, identifying and resolving issues in a timely manner
  • Develop and maintain documentation for data systems and processes
  • Stay up-to-date with the latest trends and technologies in data engineering and DevOps
Requirements
  • A minimum of 3 years of experience in Data DevOps, demonstrating your expertise in designing, building, and deploying data pipelines in Microsoft Azure
  • In-depth knowledge of Azure Data Factory, Azure DevOps, Databricks, and other related technologies
  • Experience with DataOps and MLOps
  • Strong programming skills in Python or Java
  • Good understanding of cloud infrastructure and networking concepts, including security, scalability, and resilience
  • Excellent communication skills and the ability to work collaboratively with cross-functional teams
  • Strong analytical and problem-solving skills, enabling you to identify and resolve complex issues
  • Fluent spoken and written English at an Upper-intermediate level or higher (B2+)
Nice to have
  • Experience with other cloud platforms such as AWS or Google Cloud
  • Knowledge of big data technologies such as Hadoop, Spark, or Kafka
  • Experience with containerization technologies such as Docker and Kubernetes
  • Certifications in Microsoft Azure or related technologies
Benefits
  • 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