Data Engineer

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.

Responsibilities

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

Requirements

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.