AWS Data Engineer

• Design and implement cloud-based data architectures on AWS.
• Build, maintain, and optimize ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and related services.
• Develop and manage data lakes and data warehouses using Amazon S3, Redshift, DynamoDB, and Athena.
• Create and maintain data models and schemas for analytics, reporting, and operational use cases.
• Ensure data quality through validation, monitoring, and automated error-handling.
• Optimize data solutions for performance, reliability, and cost efficiency.
• Collaborate with data analysts, data scientists, DevOps, and other engineering teams.
• Participate in Agile ceremonies, helping estimate tasks, identify risks, and plan technical work.
• Troubleshoot data issues and support customer-facing teams with technical insights.
• Document architectural decisions, data workflows, and implementation guidelines.

• Strong experience with AWS data and compute services (AWS Glue, S3, Lambda, Step Functions, Redshift, Athena, DynamoDB).
• Solid SQL skills.
• Proficiency in Python or another major programming language.
• Understanding of data lake, data warehouse, and cloud-native data architectures.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Familiarity with CI/CD pipelines, DevOps practices, monitoring, and observability (CloudWatch).
• Knowledge of data governance, security best practices, IAM, and compliance requirements.
• Strong communication skills in English for working with international teams and customers.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Experience working with Agile methodologies.
• Analytical mindset, problem-solving skills, and eagerness to learn and adapt.
• Recommended: AWS certifications (Data Engineer Associate, Solutions Architect, or Developer).

Nice to have

• Experience working with Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Functions, Dataform or Cloud Composer.
• Understanding of how to translate or migrate data workflows between AWS and GCP.
• Familiarity with multi-cloud architectures or hybrid cloud setups.

• We offer a fixed salary according to your worth and experience, plus a performance-based bonus.
• Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance).
• Do you know someone that fits in Making Science? Refer them and you can get a bonus if they're hired!
• Feedback is part of our day-to-day lives. We recognize a job well done through a continuous feedback model.
• The opportunity to meet our international team with our Ambassadors Program.
• We care about a healthy work-life balance. You can count on flexible working hours and one day a week working from home.
• You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more.
• Pack your bags! You'll have 24 vacation days, plus December 24th and 31st off.
• Work comfortably and follow your own style-no dress code.
• We know how to have a good time!
• Never go hungry with our free daily fruit and vending machine card!
• Take a break on our terrace, play foosball, darts, or PlayStation.
• Be part of a young, adventurous, and professional team, with people you'll grow fond of!

The First Party Data/DataOPs Business Unit is an expert provider of tailored information technology solutions. We are pioneers in the application of Big Data, Cloud and Machine Learning technologies to meet real-time business challenges and are continuously innovating in these areas, evaluating and incorporating the latest tools. The technical environment is demanding, whereby our solutions are deployed in very large companies supporting billions of events processed per day and millions of concurrent user sessions. Being a very early adopter, the company has been leveraging some of the latest technologies in the area of Big Data and machine learning over the past 10 years.