Senior Data Engineer: Cloud Ingestion & Pipelines (Hybrid)

Xktalent Inc. - Rimutee; Buenos Aires; Hybrid; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Hybrid work model

Global career opportunities

Learning platforms and certifications

Wellbeing program

Diversity & inclusion programs

Job summary

Endava is seeking a Data Engineer to join our data team, focusing on building scalable ETL/ELT pipelines, data modeling, and production-grade data solutions. You will design Airflow workflows, implement DBT data quality checks, and work with Snowflake on cloud-based data warehouses.

You will participate in CI/CD practices, IaC with Terraform, and collaborate across architecture, DevOps, product, and analytics teams to deliver reliable data systems at scale.

Qualifications

• 5+ years of professional experience in data engineering or related role.
• Strong hands-on experience building production-grade data pipelines.
• Deep knowledge of Apache Airflow: DAG development, scheduling, monitoring.
• Solid experience with Snowflake or equivalent cloud data warehouse technologies.
• Proven experience with DBT.
• Experience with AWS or another major cloud platform.
• Experience with CI/CD and Infrastructure-as-Code practices.
• Strong programming in Python and SQL.
• Ability to own complex initiatives from design to production.
• Strong communication and documentation skills.

Responsibilities

• 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 with emphasis on scalability, performance, reliability, and maintainability.
• Design and optimize data models, SQL queries, stored procedures, and data processing workflows.
• Design and maintain Airflow workflows, including scheduling 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 issues.
• Develop data solutions using AWS and Snowflake, and support cloud services.
• Support production deployments, incident resolution, and root cause analysis.
• Mentor junior engineers and collaborate with cross-functional teams.

Skills

Python

SQL

ETL/ELT

Airflow

DBT

Snowflake

AWS

PySpark

CI/CD

Tools

Jenkins

GitHub

GitHub Actions

Terraform

Job description

Endava is seeking a Data Engineer to join our data team, focusing on building scalable ETL/ELT pipelines, data modeling, and production-grade data solutions. You will design Airflow workflows, implement DBT data quality checks, and work with Snowflake on cloud-based data warehouses.

You will participate in CI/CD practices, IaC with Terraform, and collaborate across architecture, DevOps, product, and analytics teams to deliver reliable data systems at scale.