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Design and maintain ETL/ELT pipelines handling structured and unstructured data from multiple sources, performing dimensional modeling and building data warehouses or lakes. Write optimized SQL, implement data quality rules and monitoring, and use workflow orchestration tools like Airflow or Dagster to manage jobs. Requires experience with cloud data platforms such as Snowflake, BigQuery, or Redshift, real-time streaming technologies, and AWS, Azure, or GCP stacks.

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Job Description

  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
  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.

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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  • Role Data Engineer
  • Experience 3-4 years
  • Work type On-site
  • Location China
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Bosch
Automotive & Mobility · 500+ Members · Stuttgart, Germany

Bosch is a diversified engineering and technology group active in mobility, industrial technology, consumer goods, and energy and building technology. Its businesses produce automotive systems, power tools, home appliances, factory technology, sensors, software, and connected solutions. The company combines large-scale manufacturing with research in electronics, software, AI, automation, and the Internet of Things. Bosch supplies consumers as well as automotive, industrial, commercial, and infrastructure customers through operations around the world.

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Job Overview
Eligibility
China Right to work in China required.
Workplace
On-site
Job Posted:
6 hours ago
Job Type
Full Time
Experience
3-4 years

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