Senior Data Engineer: Pipelines, Airflow & Cloud

Meeruai; Buenos Aires; A distancia; ARS 2.400.000 - 4.200.000; Jornada completa

Descripción de la vacante

Endava is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines, data models, and data processing workflows across AWS, Snowflake, and cloud services.

You will implement Airflow workflows, develop DBT-based data quality checks, and contribute to production readiness through CI/CD and IaC practices.

Mentor junior engineers, collaborate with architecture and DevOps, and ensure reliable, cost-efficient data platforms.

Responsabilidades

• Design, build, 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, including scheduling, dependencies, retries, monitoring, and error handling.
• 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 cloud-based data warehouse technologies such as Snowflake.
• Work with cloud services for data 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 applications and infrastructure.
• Apply Infrastructure-as-Code practices using Terraform or equivalent technologies.
• Support production deployments, incident resolution, root cause analysis, and continuous improvement.
• Maintain technical documentation, operational runbooks, and troubleshooting guides.
• Take ownership of complex engineering initiatives from design through production.
• Conduct code reviews and promote engineering best practices.
• Mentor junior and mid-level engineers and provide technical guidance.
• Collaborate with architecture, DevOps, product, and other technology teams.

Descripción del empleo

Endava is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines, data models, and data processing workflows across AWS, Snowflake, and cloud services.

You will implement Airflow workflows, develop DBT-based data quality checks, and contribute to production readiness through CI/CD and IaC practices.

Mentor junior engineers, collaborate with architecture and DevOps, and ensure reliable, cost-efficient data platforms.