Senior Data Engineer: Identity Data Ingestion & Pipelines

Darwoft; Buenos Aires; Híbrido; ARS 1.800.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Recognition awards and referral bonus

Career development and global career机会

Hybrid work and flexible hours

Wellbeing and health programs

Descripción de la vacante

Endava is seeking a seasoned Data Engineer to join our Buenos Aires data team. You will design, build, and maintain scalable ETL/ELT pipelines, orchestration with Apache Airflow, and data validation using DBT and SQL.

You’ll contribute to architectural decisions, optimize data models, and work across development, QA, staging, and production environments. The role emphasizes production-grade data pipelines on AWS and Snowflake, with opportunities to mentor peers and lead complex initiatives.

Formación

• 5+ years of professional experience in data engineering or a related software engineering role.
• Strong hands-on experience building and supporting production-grade data pipelines.
• Strong knowledge of Apache Airflow, including DAG development, scheduling, dependencies, retries, and monitoring.
• Strong experience with Snowflake or equivalent cloud data warehouse technologies.
• Proven experience with DBT.
• Solid experience with AWS or another major cloud platform.
• Experience with CI/CD and Infrastructure-as-Code practices.
• Strong programming skills in Python and SQL.
• Demonstrated experience troubleshooting complex production issues and performing root cause analysis.

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, 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.

Conocimientos

Python

SQL

Apache Airflow

DBT

PySpark

Snowflake

AWS

CI/CD

Herramientas

Airflow

DBT

Snowflake

PySpark

AWS

Jenkins

GitHub Actions

Descripción del empleo

Endava is seeking a seasoned Data Engineer to join our Buenos Aires data team. You will design, build, and maintain scalable ETL/ELT pipelines, orchestration with Apache Airflow, and data validation using DBT and SQL.

You’ll contribute to architectural decisions, optimize data models, and work across development, QA, staging, and production environments. The role emphasizes production-grade data pipelines on AWS and Snowflake, with opportunities to mentor peers and lead complex initiatives.