Senior Data Engineer — SQL, Python, ML | Airflow & Cloud

Anyone Ai Inc.; Buenos Aires; A distancia; ARS 123.632.000 - 169.994.000; Jornada completa

Descripción de la vacante

Endava is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and deliver data across environments. You will craft modular, configurable data processing solutions and contribute to architectural decisions for scalable, reliable systems.

Responsibilities include building Airflow workflows, validating data with DBT/SQL, and ensuring observability and cost-efficient operations on AWS/Snowflake platforms.

Formación

• 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.

Responsabilidades

• 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 appropriate 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.

Conocimientos

ETL/ELT pipelines

SQL

Data modeling

Data architecture

Cloud platforms

Herramientas

Apache Airflow

DBT

Snowflake

AWS

Terraform

CI/CD tooling

Descripción del empleo

Endava is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and deliver data across environments. You will craft modular, configurable data processing solutions and contribute to architectural decisions for scalable, reliable systems.

Responsibilities include building Airflow workflows, validating data with DBT/SQL, and ensuring observability and cost-efficient operations on AWS/Snowflake platforms.