Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

- Data Engineering & Architecture
- 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.
- Workflow Orchestration & Data Quality
- 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.
- Cloud & Platform Engineering
- 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.
- CI/CD & Production Support
- 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.
- Technical Leadership
- 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.

Qualifications

- Programming: Python, SQL
- Orchestration: Apache Airflow or equivalent
- Data Transformation: DBT, SQL, PySpark
- Data Warehouse: Snowflake or equivalent cloud data warehouse
- Cloud: AWS or equivalent cloud platform
- AWS Services: S3, EMR, Lambda, SNS/SQS or equivalent
- CI/CD: Jenkins, GitHub, GitHub Actions, or equivalent

Mandatory Qualifications

- 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.
- Ability to independently own complex technical initiatives from design through implementation and production.
- Strong communication, problem-solving, and technical documentation skills.

Preferred Qualifications

- Experience with large-scale data processing.
- Experience with PySpark and EMR.
- Experience mentoring engineers and contributing to technical standards and architecture.

Additional Information

- Finance: Competitive salary package, value-based recognition awards, referral bonus;
- Career Development : Career coaching, integral career opportunities, non-linear career paths, internal development programmes for manageme

📌 Senior Data Engineer (Rosario)
🏢 Warecloud
📍 Rosario