Data Architect

hace 6 días


Ciudad de México, Ciudad de México Virtualent A tiempo completo
About Virtualent

We're a leading IT Staffing company dedicated to connecting top talent with the most innovative companies.

Job Summary

We're seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines.

Key Responsibilities
  • Design and develop data pipelines to meet business requirements.
  • Collaborate with data scientists and analysts to understand their needs and provide the necessary data.
  • Optimize database performance and ensure data integrity and quality.
  • Implement and manage data storage solutions both on-premises and in the cloud.
  • Collaborate in defining data architectures and best practices.
  • Implement and maintain CI/CD pipelines for data applications.
  • Use containerization tools (Docker) to deploy and manage applications.
  • Utilize orchestration tools (Kubernetes) to manage containerized applications.
  • Employ infrastructure as code (IaC) tools (Terraform) to automate infrastructure deployment.
  • Monitor and ensure the availability and performance of data solutions.
Requirements
  • Experience as a Data Engineer or in similar roles.
  • Strong knowledge of programming languages such as Python, Java, R, and/or C++.
  • Experience with database management systems (SQL and NoSQL).
  • Familiarity with Big Data tools like Hadoop, Spark, Kafka, etc.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, CircleCI).
  • Experience with containerization tools like Docker.
  • Familiarity with orchestration tools like Kubernetes.
  • Knowledge of infrastructure as code (IaC) tools like Terraform.
  • Analytical skills and ability to solve complex problems.
  • Good communication skills and ability to work in a team.
  • Good written and oral English language skills.
Nice to Haves
  • Experience with ETL and data integration tools.
  • Knowledge of machine learning and predictive analytics models.
  • Certifications in data technologies and/or cloud platforms.
What We Offer
  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and development.
  • Flexible work arrangements and remote work possibilities.
  • Competitive salary.

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