Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py94l

What you will do

- Design, develop, and maintain scalable and reliable ETL/ELT pipelines;

- Build and optimize data workflows using tools such as dbt and Airflow;

- Develop and maintain data solutions leveraging technologies such as Snowflake, Redshift, Kafka, Spark, and Hive;

- Work with both SQL and NoSQL databases to support data ingestion, transformation, and analytics needs;

- Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability;

- Collaborate closely with cross‑functional teams including Engineering, Product, Analytics, and Business stakeholders;

- Participate in Agile ceremonies and contribute to sprint planning and delivery commitments;

- Manage multiple priorities effectively while ensuring timely and high‑quality deliverables;

- Contribute to data architecture discussions and help drive engineering best practices.

Must haves





- 5+ years of professional experience in Data Engineering or Data Warehousing roles;

- Strong programming skills in Python;

- 5+ years of experience building data pipelines using ETL/ELT tools, with dbt preferred;

- 3+ years of hands‑on experience with big data technologies such as Snowflake, Redshift, Kafka, Spark, or Hive;

- Extensive experience working with both SQL and NoSQL databases;

- Strong expertise with workflow orchestration and pipeline management tools such as Airflow;

- Strong understanding of scalable data architecture and engineering best practices;

- Excellent communication and stakeholder management skills;

- Proven ability to manage competing priorities and deliver within agreed sprint commitments;

- Comfortable working in highly collaborative, cross‑

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py94l

📌 Senior Data Engineer (Argentina)
🏢 Agileengine
📍 Argentina