Senior Data Engineer — Scalable AWS Pipelines & Airflow

EPAM Systems Inc; Argentina; A distancia; ARS 2.000.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling & certifications

LinkedIn Learning access

Global career opportunities

Descripción de la vacante

EPAM Systems Inc. is seeking a hands-on Senior Data Engineer to design, build, and support scalable data pipelines and cloud-based data solutions on AWS.

You will use Python, Pandas, and PySpark to process data, orchestrate workflows with MWAA/Airflow, and optimize queries with Athena. You will also automate infrastructure with Terraform and GitHub Actions, implement data quality controls, and collaborate in an Agile team to drive best practices across projects.

Formación

• A minimum of 3 years of professional data engineering experience.
• Strong Python and Pandas skills for data manipulation.
• Hands-on PySpark experience with large-scale data processing.
• Experience with AWS MWAA or Apache Airflow for workflows.
• Familiarity with Terraform and CI/CD tooling.
• GitHub Actions and DevOps practices in data environments.
• Upper-intermediate English proficiency (B1+).
• Nice to have Gen AI or finance industry exposure.

Responsabilidades

• Design, build, and maintain scalable data pipelines on AWS.
• Develop data processing solutions using Python, Pandas, and PySpark.
• Orchestrate workflows with MWAA/Airflow to run pipelines reliably.
• Query data with AWS Athena for efficient analysis and reporting.
• Automate infrastructure with Terraform and GitHub Actions.
• Implement testing, monitoring, and data quality controls.
• Participate in code reviews and promote engineering best practices.

Conocimientos

Python programming

Pandas

PySpark

DevOps practices

Agile/Scrum

English (B1+)

Herramientas

AWS

Airflow (MWAA)

Terraform

GitHub Actions

Athena

Descripción del empleo

EPAM Systems Inc. is seeking a hands-on Senior Data Engineer to design, build, and support scalable data pipelines and cloud-based data solutions on AWS.

You will use Python, Pandas, and PySpark to process data, orchestrate workflows with MWAA/Airflow, and optimize queries with Athena. You will also automate infrastructure with Terraform and GitHub Actions, implement data quality controls, and collaborate in an Agile team to drive best practices across projects.