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AWS Data Engineer
Netrix Global. Support the development, maintenance, and continuous improvement of the client's data platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and architecture, focusing on ETL processes, data preparation, and cloud-based analytics solutions. Proficient in managing data lake architectures and integrating data solutions within AWS environments.
Highest-signal resume keywords
Data EngineeringETL ProcessesAWS Data ServicesApache SparkAgile Scrum
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PreparationData IngestionData StreamingData ModelingData TransformationMachine LearningCloud Data ServicesInfrastructure as CodeData GovernanceBig Data Environments
Soft Skills
CommunicationCollaboration
Tools & Technologies
Apache HadoopApache SparkAWS S3AWS GlueAWS AthenaAWS SageMakerGitTerraformCloudFormationAirflow
Industry Keywords
Lakehouse ArchitectureData PipelinesData SolutionsAI ModelsDevOps
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLHadoopPythonSparkTerraform
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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