Data Engineer
- Full-time
- Legal Entity: Bosch Automotive Products (Changsha) Co., Ltd.
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
- 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.)
- Perform dimensional data modeling, build and iterate data warehouse / data lake, define table schema, partition strategy, data layers (ODS/DWD/DWS/ADS)51job
- Write & optimize complex SQL, tune query performance, reduce resource cost and improve pipeline stability and SLA
- Implement data quality rules, anomaly detection, monitoring & alerting, troubleshoot data lineage and data consistency issues
- Use workflow orchestration tools to schedule, manage and monitor data jobs (Airflow/Dagster)
- Collaborate with analysts, DS and business stakeholders to translate business requirements into data solutions, build reusable datasets and data APIs
- Participate in data governance: metadata management, data security, access control, documentation for schema and pipelines51job
- Evaluate and adopt cloud data technologies (Snowflake/BigQuery/Redshift), continuously optimize storage and compute cost
Qualifications
- Experience on AWS/Azure/GCP cloud data stack
- Real-time streaming data pipeline development (Kafka, Flink, Pulsar)
- Data governance, data lineage, metadata platform construction experience
- Experience supporting ML feature platform / feature engineering
- English working proficiency
- 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
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