24 may
|
Agileengine
|
Argentina
24 may
Agileengine
Argentina
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