Data Platform Engineer, Data Pipelines
Tasks
- Build connectors and APIs for data ingestion and consumption
- Build data ingestion pipelines
- Build integrations across edge cloud and storage
- Design data platform frameworks
- Develop ingestion SDKs APIs services
- Ensure integration reliability end to end
- Integrate platform with BI ML labeling and issue tracking
- Optimize pipeline performance scalability and cost
Perks/Benefits
Skills/Tech-stack
Airbyte | Airflow | BigQuery | CDC | DBT | Dagster | Data Lineage | Data Modeling | Data Quality | Databricks | Debezium | ELT | Fivetran | GRPC | Kafka | Kinesis | Monitoring | Object storage | PubSub | Python | REST | Redshift | Retries | SQL | Schema versioning | Snowflake | Webhooks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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