About this role
About the Role We are expanding our Data&Analytics community with a profile focused on Data solutions design on AWS, oriented to architectural design in AWS. This role is part of Babel's Data & Analytics team, contributing to digital acceleration for clients and public sector bodies. What You'll Do
- Design and develop data solutions on AWS across the data lifecycle: ingestion, ETL, ELT, modeling and exploitation.
- Lead Data Lake implementations with Medallion architecture.
- Collaborate with technical and functional stakeholders to ensure scalable and robust data solutions.
- Ensure best practices, security and performance. What We're Looking For
- More than 5 years of experience designing and developing data solutions on AWS.
- Experience across all data lifecycle: ingestion, ETL, ELT, modeling, exploitation.
- Certifications at least: AWS Certified Data Engineer - Associate or AWS Solutions Architect.
- English minimum B2.
- Strong technical and functional communication.
- At least 3 years of experience in the Spark ecosystem.
- Experience implementing Data Lakes with Medallion architecture.
- Ability to work in a hybrid Madrid environment. Nice to Have
- Experience with Amazon Athena, AWS Glue, AWS Glue Catalog, Data Lake, AWS Lake Formation, DynamoDB, Lambda, SageMaker. Compensation & Benefits
- Flexible working arrangements, telework options and a vacation system based on points.
- Private health and life insurance, access to a personal trainer and wellbeing program.
- Time off activities in nature, sports championships, streaming platform subscription.
- Participation in company growth with Bonus benefits.
- Focus on working with latest technologies and innovative projects, supporting digital transformation and bringing technology closer to society.