Data Platform Engineer

SoyOs is seeking a Data Platform Engineer to support dependable data infrastructure. The role focuses on building and maintaining data pipelines, developing transformations and data models, monitoring data jobs, implementing quality checks, and documenting operational procedures.

Responsibilities:

• Build and maintain data pipelines that move and transform information between approved sources and destinations
• Develop SQL or Python-based transformations with clear logic and appropriate validation checks
• Monitor recurring data jobs and investigate failures, latency, or unexpected output changes
• Maintain data models, schema documentation, and lineage information for supported datasets
• Implement tests that detect missing, duplicated, malformed, or inconsistent data before downstream use
• Document deployment, recovery, and operational procedures for supported data workflows

Requirements:

• Working knowledge of SQL, Python, and ETL
• Ability to apply Data Pipelines and Data Modeling accurately in assigned work
• Strong written communication, documentation, and attention to detail
• Ability to organize priorities, follow defined procedures, and raise questions when source information is unclear
• Comfort working independently and collaborating through shared digital tools in a remote environment