Senior Data Engineer: Ingestion & Platform Architect

Allshore Talent; Rosario; Híbrido; ARS 1.800.000 - 3.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Career development opportunities

Hybrid work model

Learning opportunities and training

Descripción de la vacante

Endava is seeking a senior data engineering professional to design, build, and optimize scalable data pipelines and architectures in a hybrid work environment. You will lead data platforms, implement Airflow workflows, and ensure robust data quality across development, QA, and production environments.

Responsibilities include leading data engineering initiatives, mentoring engineers, and driving CI/CD and IaC practices with Terraform on AWS/Snowflake based data infrastructures.

Formación

• Experience designing scalable data pipelines and architectures.
• Strong skills in Airflow, DBT, and SQL.
• Experience with AWS and Snowflake.
• Leadership and mentoring capabilities.
• CI/CD practices and production support.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Develop data processing solutions using AWS and cloud-based data warehouse technologies such as Snowflake.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Apache Airflow workflows, including scheduling, dependencies, retries, monitoring, and error handling.
• Develop CI/CD pipelines for data engineering applications and infrastructure; apply Infrastructure-as-Code with Terraform.
• Support production deployments, incident resolution, root cause analysis, and continuous improvement.

Conocimientos

Data pipelines

Airflow

DBT

SQL

Leadership

Herramientas

Terraform

AWS

Snowflake

Descripción del empleo

Endava is seeking a senior data engineering professional to design, build, and optimize scalable data pipelines and architectures in a hybrid work environment. You will lead data platforms, implement Airflow workflows, and ensure robust data quality across development, QA, and production environments.

Responsibilities include leading data engineering initiatives, mentoring engineers, and driving CI/CD and IaC practices with Terraform on AWS/Snowflake based data infrastructures.