




Job Summary: Join our team as an AWS Data Engineer and take your career to the next level by designing cloud-native data architectures on Amazon Web Services. Key Highlights: 1. Design cloud-native data architectures on AWS. 2. Be part of an international and collaborative environment. 3. Access to professional development and training programs. Job description Who are we? Amaris Consulting is an independent technology consulting firm providing advisory services and solutions to enterprises. We bring together over 7\.600 professionals across 5 continents and more than 60 countries. With over 1\.000 clients worldwide, we have implemented solutions for key projects for over a decade. Our specialists cover sectors ranging from financial services and transportation to healthcare and technology. Amaris is your “stepping stone” to cross rivers of change, tackle new challenges, and take your projects to the next level. Job Description Join our team as an AWS Data Engineer and take your career to the next level by designing cloud-native data architectures on Amazon Web Services to transform information into strategic insights. You will be part of an international and collaborative environment, participating in high-impact projects where you can build robust data pipelines, optimize large-volume data processing, and lead the evolution of cutting-edge analytical solutions. Responsibilities **Architecture & Infrastructure:** Design cloud-native data architectures on AWS (S3, Glue, EMR, Kinesis, Lambda) Configure and optimize Redshift and Athena for large-scale analytics Implement Step Functions and Glue Workflows for advanced orchestration Establish CI/CD pipelines with CloudFormation or Terraform for automated deployment **Pipeline Development:** Develop ETLs/ELTs for ingestion of structured, semi-structured, and unstructured data Implement data quality frameworks using AWS Glue DataBrew and Deequ Build streaming pipelines with Kinesis Data Analytics and Lambda for real-time data **Modeling & Optimization:** Design star, snowflake, and data vault models in Redshift Optimize SQL and PySpark/Scala queries for high performance on large datasets Implement partitioning, compression, and caching strategies **Management & Collaboration:** Collaborate with global stakeholders in English to translate business requirements into technical solutions Document architectures, pipelines, and data governance processes Profile 4+ years as a Data Engineer in AWS environments Advanced proficiency in S3, Glue, EMR, Redshift, Kinesis, Lambda, Step Functions Solid experience in designing and optimizing complex ETLs English B2/C1 for effective communication with international teams Experience with Python (PySpark, boto3) and/or Scala **Preferred:** AWS Big Data Specialty or Solutions Architect certifications What we offer 70% of our senior leaders started in entry-level positions. Enhance your skills through our Technology Academy catalog, Udemy, language classes, webinars, and workshops. Access to our WeCare program, offering support to employees in critical situations. Amaris Consulting proudly embraces equal opportunity employment. We promote diversity and an inclusive workplace, welcoming all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, or disability. Who are we? Amaris Consulting is an independent technology consulting firm providing advisory services and solutions to enterprises. We bring together over 7\.500 professionals across 5 continents and more than 60 countries. With over 1\.000 clients worldwide, we have implemented solutions for major projects for over a decade. Our specialists cover sectors ranging from financial services and transportation to healthcare and technology. Amaris is your ‘stepping stone’ to cross rivers of change, tackle challenges, and successfully deliver all your projects.


