Senior Data Engineer, Cloud Data Platform

Netrix Global; Córdoba; A distancia; ARS 106.678.000 - 182.877.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Descripción de la vacante

Proofpoint in Córdoba, Argentina, is seeking a Staff Data Engineer to design, build, and operate the large-scale data infrastructure that underpins our cybersecurity products. You will work across ingestion, transformation, orchestration, and delivery on AWS, turning raw data into reliable, governed data assets for product decisions.

This senior IC role requires deep cloud data platform expertise, strong Python and PySpark skills, and a passion for data quality, governance, and scalable

Formación

• 8+ years of professional software or data engineering experience, with at least 4 years focused on cloud data platforms.
• Deep expertise with AWS data services: S3 (lifecycle policies, event notifications, encryption), AWS Glue (ETL jobs, Crawlers, Data Catalog, Glue Studio), and Amazon Athena.
• Strong Python programming skills; proficiency writing production-grade PySpark or Spark (Scala) for large-scale data transformation.
• Solid SQL fundamentals-ability to write and tune complex analytical queries.
• Excellent communication skills-able to present technical trade-offs clearly to both engineering and non-engineering stakeholders.
• Proven experience mentoring engineers and leading technical design discussions.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Responsabilidades

• Design and implement scalable, reliable data pipelines using AWS Glue (PySpark and Glue Studio) to ingest and transform petabyte-scale datasets stored in Amazon S3.
• Build and maintain our cloud data lake architecture on S3-defining partition strategies, file formats (Parquet, ORC, Delta), and data-catalog schemas in AWS Glue Data Catalog.
• Establish and enforce data quality standards-implement validation frameworks, anomaly detection, and SLA-driven alerting to ensure data reliability.
• Define and drive engineering best practices: code reviews, CI/CD for data pipelines, Infrastructure-as-Code (Terraform/CDK), and DataOps principles.
• Serve as a technical leader and mentor-conduct design reviews, guide junior engineers, and influence the team's technical roadmap.
• Collaborate closely with data scientists, ML engineers, and product managers to translate business requirements into robust data models and pipeline specifications.
• Champion data governance, lineage tracking, and privacy-by-design principles across all data assets.
• Troubleshoot and resolve production incidents, perform root-cause analysis, and drive preventive improvements.
• Contribute to architecture decision records (ADRs) and technical documentation.

Conocimientos

Python

PySpark

SQL

Communication

Mentoring

Cloud data platforms

Educación

Bachelor's degree in Computer Science or related field

Herramientas

AWS data services (S3, Glue, Athena)

Descripción del empleo

Proofpoint in Córdoba, Argentina, is seeking a Staff Data Engineer to design, build, and operate the large-scale data infrastructure that underpins our cybersecurity products. You will work across ingestion, transformation, orchestration, and delivery on AWS, turning raw data into reliable, governed data assets for product decisions.

This senior IC role requires deep cloud data platform expertise, strong Python and PySpark skills, and a passion for data quality, governance, and scalable