Senior Data Engineer - Remote, Cloud Data Pipelines

BairesDev; Rosario; Híbrido; ARS 1.200.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Recognition awards

Referral bonus

Career coaching

Hybrid work model

Wellbeing programs

Descripción de la vacante

Endava is seeking a data engineering leader to design and maintain scalable data pipelines and data architectures. You will own ETL/ELT development, implement Airflow workflows, and enforce robust data quality checks using DBT and SQL.

You'll mentor junior engineers, drive CI/CD for data apps, and collaborate with architecture, DevOps, and product teams to deliver reliable, cost-efficient data solutions across AWS and Snowflake environments.

Formación

• Design, build, and maintain scalable data pipelines (ETL/ELT).
• Create reusable data processing solutions with modular design.
• Contribute to data architecture with a focus on scalability and reliability.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.
• Develop reusable, modular, and configuration-driven data processing solutions.
• Contribute to technical architecture and evaluate solutions based on scalability, performance, reliability, and maintainability.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Apache Airflow workflows with scheduling, dependencies, retries, and monitoring.
• Develop automated data validation and quality checks using DBT and SQL.
• Implement monitoring, alerting, and observability for critical data pipelines.
• Troubleshoot and resolve complex data processing and quality issues.
• Develop data solutions using AWS and Snowflake; work with cloud services for storage, processing, compute, messaging, and serverless workloads.
• Support data platforms across development, QA, staging, and production environments.
• Optimize data workloads for performance, scalability, reliability, and cost.
• Develop and maintain CI/CD pipelines for data engineering apps and infrastructure.
• Apply Infrastructure-as-Code with Terraform or equivalent tools.
• Support production deployments, incident resolution, root cause analysis, and continuous improvement.
• Maintain technical documentation and runbooks.
• Take ownership of complex engineering initiatives and mentor team members.

Conocimientos

ETL/ELT pipelines

Airflow

DBT

SQL

AWS

Snowflake

Terraform

CI/CD

Mentoring

Technical leadership

Herramientas

Airflow

DBT

SQL

Snowflake

AWS

Terraform

CI/CD tooling

Descripción del empleo

Endava is seeking a data engineering leader to design and maintain scalable data pipelines and data architectures. You will own ETL/ELT development, implement Airflow workflows, and enforce robust data quality checks using DBT and SQL.

You'll mentor junior engineers, drive CI/CD for data apps, and collaborate with architecture, DevOps, and product teams to deliver reliable, cost-efficient data solutions across AWS and Snowflake environments.