DATA ENGINEER WITH CLOUD PLATFORM AND MACHINE LEARNING EXPERTISE

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. ✍️WHAT WOULD YOU NEED? ✍️Proven experience in AWS cloud engineering and platform engineering.Strong experience with data engineering tools and frameworks.Proficiency in programming languages such as Python, Java, or Scala.Experience with machine learning tools and frameworks.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. 🙌AND IF IN ADDITION...🙌Experience with machine learning and automation.Knowledge of Snowflake.AWS solution architect certification.Spanish language skills.…will be a plus. 👉 WHAT WILL YOU BE DOING?Cloud Infrastructure Management:Design and implement AWS cloud solutions using services like EC2, S3, Lambda, RDS, and ECS.Optimize cloud resources for performance, cost, and security.Develop infrastructure as code using tools such as AWS CloudFormation or Terraform.Platform Engineering:Collaborate with software engineers to deploy and manage platform services and microservices on AWS.Ensure high availability and reliability of platform systems.Automate deployment and scaling processes.Data Engineering:Build and maintain scalable ETL pipelines to transform and integrate data from various sources.Implement data storage solutions using AWS data services like Redshift, Glue, Snowflake, or Athena.Ensure data quality and integrity throughout the data life cycle.Leverage Databricks for scalable data processing and analytics.Machine Learning Engineering:Develop and maintain machine learning models through their lifecycle.Utilize machine learning services such as Databricks, SageMaker to build, train, and deploy models.Work with data teams to ensure datasets are effectively cleaned, processed, and validated for model training.Implement machine learning pipelines using Databricks.Continuous Improvements:Monitor system performance and troubleshoot issues.Stay updated with evolving AWS services, data engineering, and machine learning technologies.Participate in code reviews and contribute to best practices. 🚀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 a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions.Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops.Take control of your training with a personal annual budget and company-paid certifications.Enjoy flexible policies, remote work options and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance.Benefit from our WeCare programme, which supports employees in critical situations.Unlock your full potential, both professionally and personally. Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.