Remote AWS Data Engineer for Data Platform & AI

Netrix Global

Municipio de Rincón de los Sauces

Remote

ARS 106,978,000 - 152,826,000

Full time

6 days ago
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Benefits offered by this job

Swiss Medical
Remote work
AWS/Azure certifications
Learning opportunities
Competitive compensation
English in company
Travel flexibility

Job summary

Netrix Global is seeking an AWS Data Engineer for the Professional Services – Data Intelligence team. You will support the data platform, build data pipelines, and shape lakehouse architectures in a cloud environment.

You will collaborate with data scientists and other engineers to enable AI initiatives, implement data governance, and optimize ETL/ELT processes across big data stacks. Work can be remote from Argentina.

Qualifications

  • Experience designing and implementing data pipelines for analytics and AI.
  • Strong knowledge of AWS data services and cloud-based analytics.
  • Proficiency in Python or equivalent data processing languages.

Responsibilities

  • Identify, prepare data for modern data solutions and AI workloads.
  • Design ETL/ELT pipelines for transformations.
  • Architect and manage data lakes and lakehouse components.
  • Collaborate with Spark/Hadoop ecosystems to implement data solutions.
  • Test, validate, and document data solutions to meet requirements.
  • Work with big data environments and cloud services.
  • Ensure data security, access control, and governance.
  • Support ML data prep and monitoring of data pipelines.

Skills

ETL data pipelines
AWS data services
Python
Large-scale data processing
Data modeling

Tools

Apache Spark
Terraform
Airflow
Hadoop ecosystem

Job description

Netrix Global is seeking an AWS Data Engineer for the Professional Services – Data Intelligence team. You will support the data platform, build data pipelines, and shape lakehouse architectures in a cloud environment.

You will collaborate with data scientists and other engineers to enable AI initiatives, implement data governance, and optimize ETL/ELT processes across big data stacks. Work can be remote from Argentina.

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