• Build and automate data workflows for new and existing data partnerships.
• Create repeatable ingestion, transformation, and replication processes for partner data feeds.
• Evaluate incoming datasets for structure, usability, coverage, completeness, and quality.
• Write scripts to transform, normalize, move, and prepare data for analysis or downstream use.
• Use SQL and Athena to query large datasets, validate outputs, and generate reporting tables or extracts.
• Build lightweight validation checks for files, schemas, counts, formats, and expected values.
• Produce clear technical documentation, including field mappings, data dictionaries, process notes, data flow summaries, and partner integration documentation.
• Use AI-assisted tools where appropriate to accelerate data investigation, documentation, code generation, workflow prototyping, and repeatable analysis.
• Communicate with technical contacts at data partners via email and occasional technical calls.
• Help translate partner data delivery requirements into practical ingestion and automation workflows.
• Work with internal teams across Operations, Product, Engineering, Compliance, and Data Cloud.
• Contribute to reusable templates, naming conventions, and documentation standards for partner data onboarding.