Data Engineer

Virtualent; Pueblo Santiago Acahualtepec; Vor Ort; MXN 600.000 - 900.000; Vollzeit

Benefits dieser Stelle

Dynamic and collaborative work environment

Opportunities for professional growth

Flexible work arrangements

Competitive salary

Zusammenfassung

Virtualent is seeking a Data Engineer in Mexico City to design and maintain scalable data pipelines while collaborating with data scientists and analysts. You'll optimize performance, manage data storage solutions, and ensure data integrity.

The ideal candidate has strong programming skills in Python, Java, R, or C++, and familiarity with cloud platforms like AWS and data tools like Hadoop. The role offers a dynamic work environment with flexible arrangements and competitive salary.

Qualifikationen

• 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.

Aufgaben

• Design, develop, and maintain robust and scalable data pipelines.
• Work with data scientists and analysts to understand their needs.
• Optimize database performance and ensure data integrity.
• Implement and manage data storage solutions.
• Collaborate in defining data architectures and best practices.
• Implement and maintain CI/CD pipelines for data applications.
• Use containerization tools (Docker) to deploy applications.
• Utilize orchestration tools (Kubernetes) to manage applications.
• Employ IaC tools (Terraform) to automate infrastructure deployment.
• Monitor and ensure the availability of data solutions.

Kenntnisse

Python

Java

R

C++

SQL

NoSQL

Hadoop

Spark

Kafka

Docker

Kubernetes

Terraform

CI/CD

Analytical skills

Good communication skills

Written and oral English

Jobbeschreibung

Data Engineer

Virtualent

About Us:

We’re a leading IT Staffing company dedicated to connecting top talent with the most innovative companies. If you're excited about working with large volumes of data and turning information into knowledge, we'd love to meet you!

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines.
• Work 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 (but not mandatory):

• Experience with ETL and data integration tools.
• Knowledge of machine learning and predictive analytics models.
• Certifications in data technologies and/or cloud platforms.

Benefits:

• A dynamic and collaborative work environment.
• Opportunities for professional growth and development.
• Flexible work arrangements and remote work possibilities.
• Competitive salary.

Interested?

Ready to take the next step in your IT career? Apply now and join our team of dedicated professionals who are making a difference in the IT world every day!