Data Engineer

1. Design develop deploy and maintain reliable ETL/ELT batch & streaming data pipelines ingest structured/semi-structured/unstructured data from multiple source systems (DB API log Kafka etc.)
2. Perform dimensional data modeling build and iterate data warehouse / data lake define table schema partition strategy data layers (ODS/DWD/DWS/ADS)51job
3. Write & optimize complex SQL tune query performance reduce resource cost and improve pipeline stability and SLA
4. Implement data quality rules anomaly detection monitoring & alerting troubleshoot data lineage and data consistency issues
5. Use workflow orchestration tools to schedule manage and monitor data jobs (Airflow/Dagster)
6. Collaborate with analysts DS and business stakeholders to translate business requirements into data solutions build reusable datasets and data APIs
7. Participate in data governance: metadata management data security access control documentation for schema and pipelines51job
8. Evaluate and adopt cloud data technologies (Snowflake/BigQuery/Redshift) continuously optimize storage and compute cost

Qualifications :

1. Experience on AWS/Azure/GCP cloud data stack
2. Real-time streaming data pipeline development (Kafka Flink Pulsar)
3. Data governance data lineage metadata platform construction experience
4. Experience supporting ML feature platform / feature engineering
5. English working proficiency 
6. Domain knowledge: automotive manufacturing finance retail etc.

Additional Information :

Internal Referral bonus of this vacancy: RMB 3000(Valid only for Bosch associates).For the detailed regulation. please refer to Bosch China Internal Referral Policy

Remote Work :

No

Employment Type :

Full-time