Svitla Systems Inc. is seeking a Data Architect/Engineer for a full-time (40 hours per week) position in LATAM. Our client is a leading general toy manufacturer with an award-winning, robust portfolio of wholly owned and licensed brands. Founded in 1997, the company celebrates imaginative play with a progressive focus on identifying emerging trends and turning them into high-quality products for consumers of all ages. It engages consumers through innovative play experiences with popular brands. In addition to toys, offerings include Metaverse gaming, costumes, and pet products.
Requirements
Industry Experience: Previous experience working within the Consumer Packaged Goods (CPG) industry is highly preferred.
Technical Expertise: 5+ years of deep expertise in Python and SQL.
Certified Databricks data engineer plus vast experience in dbt Cloud, and Terraform.
Strong cloud proficiency within AWS environments.
Methodologies: Deep understanding of the Medallion Architecture, advanced data modeling, and modern ELT/ETL patterns.
AI/ML Familiarity:
Proven experience managing data pipelines and scripts geared toward machine learning lifecycles and MLOps.
Responsibilities
Architecture & Engineering: Design, build, and maintain scalable data pipelines utilizing the Medallion Architecture (Bronze, Silver, Gold) within Databricks.
Infrastructure as Code & DataOps: Oversee the data infrastructure deployment using Terraform and establish rigorous CI/CD and DataOps best practices.
Data Ingestion & ELT/ETL: Standardize and optimize ingestion frameworks utilizing tools like LakeFlow and Workato alongside complex dbt transformations.
Data Modeling: Act as the subject matter expert on advanced data modeling techniques to ensure high performance, data integrity, and cost efficiency in Databricks.
WE OFFER
US and EU projects based on advanced technologies.
Competitive compensation based on skills and experience.
Comprehensive private medical insurance.
Regular performance appraisals
📌 DATA ARCHIRECT/ENGINEER (Argentina)
🏢 Svitla Systems
📍 Argentina
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