Cloud Data Engineer

buscojobs España; Lugo; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Join a leading consulting firm as a Cloud Platform and Data Engineer, where you will design AWS solutions, develop data pipelines, and leverage machine learning services. This role offers growth opportunities in a dynamic environment with personalized career paths and skill development programs.

Servicios

Personalized career paths

Skill development via Technology Academy

Company-paid certifications

Flexible policies and remote work options

Transport and restaurant tickets

Childcare support

Private health insurance

WeCare programme for employee support

Formación

• Strong experience with data engineering tools and frameworks.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with CI/CD pipelines and DevOps best practices.

Responsabilidades

• Design and implement AWS cloud solutions using services like EC2, S3, Lambda.
• Build and maintain scalable ETL pipelines to transform and integrate data.
• Utilize machine learning services to build, train, and deploy models.

Conocimientos

Data engineering tools

Python

Java

Scala

CI/CD pipelines

DevOps best practices

ETL construction

AWS APIs

Docker

Kubernetes

Databricks

Machine learning automation

Snowflake

AWS Solution Architect certification

Descripción del empleo

Take your career to the next level with Amaris Consulting as a Cloud Platform and Data Engineer. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow-up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.

Responsibilities

1. Design and implement AWS cloud solutions using services like EC2, S3, Lambda, RDS, and ECS.
2. Optimize cloud resources for performance, cost, and security.
3. Develop infrastructure as code using tools such as AWS CloudFormation or Terraform.
4. Collaborate with software engineers to deploy and manage platform services and microservices on AWS.
5. Build and maintain scalable ETL pipelines to transform and integrate data from various sources.
6. Implement data storage solutions using AWS data services like Redshift, Glue, Snowflake, or Athena.
7. Ensure data quality and integrity throughout the data lifecycle.
8. Leverage Databricks for scalable data processing and analytics.
9. Utilize machine learning services such as Databricks, SageMaker to build, train, and deploy models.
10. Work with data teams to ensure datasets are effectively cleaned, processed, and validated for model training.
11. Implement machine learning pipelines using Databricks.
12. Monitor system performance and troubleshoot issues.
13. Participate in code reviews and contribute to best practices.

Qualifications

• Strong experience with data engineering tools and frameworks.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with CI / CD pipelines and DevOps best practices.
• Experience constructing ETLs, developing pipelines, ensuring data integrity, and working with AWS APIs.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience with Databricks for machine learning and pipelines.
• Fluent in English; Spanish will be a plus.
• Additional preferred skills: Machine learning automation, Snowflake, AWS Solution Architect certification.

What Will You Be Doing?

• Designing and implementing scalable cloud infrastructure solutions.
• Developing infrastructure as code and collaborating on deployment and management of services.
• Building and maintaining data pipelines and storage solutions.
• Leveraging machine learning services for model development.
• Monitoring system performance and participating in code reviews.

Why Us?

Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's what we offer:

• Rapid growth through personalized career paths and salary assessments.
• Skill development via our Technology Academy, Udemy, language classes, webinars, and workshops.
• Personal training budgets and company-paid certifications.
• Flexible policies, remote work options, and social benefits such as transport and restaurant tickets, childcare support, and private health insurance.
• Our WeCare programme supporting employees in critical situations.
• Unlock your full potential, both professionally and personally.

Equal Opportunity Employer

Amaris Consulting is committed to diversity and inclusion. We welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability, or other characteristics.