Data Engineer, Data Cloud International
Core
Build and automate data workflows for international data partnerships, turning high-potential data feeds into usable, repeatable Data Cloud assets.
Role type
Senior IC data engineer (data cloud)
Builds
Repeatable ingestion, transformation, and replication processes for partner data feeds
Domain
International data partnerships / Cloud data automation
Deliverable
production ML models | product features
Required skills
SQL, Python, AWS S3/Athena/Glue, ETL/ELT workflows, Data ingestion and replication, APIs and file-based data exchange, Airflow/Prefect, Data validation and quality checks, Structured and semi-structured data formats (JSON, Parquet, ORC)
Preferred skills
Glue Data Catalog, Snowflake/Databricks/Redshift/Hive/Presto, Git, S3 policies/IAM permissions, AI-assisted development tools
Responsibilities
Build and automate data workflows for new and existing data partnerships; Create repeatable ingestion, transformation, and replication processes; Evaluate incoming datasets for structure, usability, coverage, completeness, and quality; Write scripts to transform, normalize, move, and prepare data; Use SQL and Athena to query large datasets and generate reporting tables; Build lightweight validation checks for files, schemas, counts, and formats; Produce clear technical documentation including field mappings and data dictionaries; Use AI-assisted tools to accelerate data investigation and workflow generation; Translate partner data delivery requirements into practical ingestion workflows.
Seniority
Mid-level, hands-on IC
