Data Engineer (Snowflake Specialist)
knowmad mood · Data · 28d ago
Open to candidates across LATAM.
Applies on the original listing · via Himalayas
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to candidates across LATAM.
“En esta ocasión buscamos un Data Engineer, especialista en Snowflake en Latino America.”
The company has over 3,000 employees globally, and this role is based remotely across Latin America.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As a Data Engineer specializing in Snowflake, you will design, develop, and maintain robust and scalable data pipelines, implementing ingestion, transformation, and validation routines with PySpark and Airflow. You will evolve analytical data models using Medallion architectures, optimize complex queries within Snowflake, collaborate with business stakeholders, and ensure data quality, consistency, and traceability across the lifecycle.
What you'll do
- Design, develop, and maintain efficient, robust, and scalable data pipelines.
- Implement data ingestion, transformation, and validation processes using PySpark.
- Orchestrate complex workflows using Apache Airflow or similar orchestration tools.
- Design and evolve analytical data models, including Medallion architecture approaches.
- Manage and optimize advanced SQL queries in Snowflake environments.
- Collaborate with multidisciplinary teams and business stakeholders to translate functional needs into data solutions.
What you bring
- Advanced experience in Snowflake, including architecture design, optimization, and data management.
- Proficiency in advanced SQL with the ability to optimize complex queries across multiple tables.
- Demonstrated experience in data modeling for analytical environments.
- Practical experience using PySpark for data transformation processes.
- Hands-on experience orchestrating workflows using Apache Airflow.
- Understanding of source system architectures and configuration design for data ingestion.
About knowmad mood
knowmad mood is a digital transformation consultancy of over 3,000 professionals driving sustainable innovation and technology solutions worldwide.
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