AWS Data Engineer

• Support the development, maintenance, and continuous improvement of the client's data platform
• Work across Lakehouse architectures, data pipelines, data modeling, and cloud-based analytics solutions
• Communicate between data science team members, data scientists developing AI models, and the teams constructing and operating them
• Identify, create, and prepare data for modern data solutions and AI
• Design ETLs and ELTs for data transformations
• Design, build, and manage data lake architectures
• Work with Apache Hadoop projects, including Spark, Hive, Pig, Oozie, and Airflow
• Integrate and test data solutions
• Create and document tests to meet requirements
• Work with big data environments
• Manage cloud data services, data access, security, and data governance
• Analyze and prepare data for machine learning workloads
• Manage application and service monitoring and logs

• Experience in Data Engineer/Architect role and tasks such as ETL, data preparation and ingestion, and data streaming
• Experience working in AWS environments
• Knowledge of Python, R, or other data process tools
• Intermediate/Upper English level
• Experience with Apache Spark
• Experience using AWS data services such as S3, AWS or Microsoft Glue, Athena, and SageMaker
• Experience using DevOps tools such as Git and pipelines
• Experience working in an Agile Scrum team
• Experience working with infrastructure as code such as Terraform and CloudFormation
• Must be located in Argentina
• Availability to work Monday to Friday, 9 a.m. to 6 p.m.

• Swiss Medical: SMG-30 (family members included)
• AWS and Azure certifications
• Happy club: Pedidos Ya
• Internet and connectivity
• Competitive salary and benefits
• English in company
• Ability to work remotely
• An awesome learning environment for you to develop
• Comprehensive group benefits for you and your family
• Flexibility
• Time off when you need it
• Casual work environment