Data Engineer

Role Overview

Design, develop, deploy, and maintain reliable ETL/ELT batch & streaming data pipelines, ingest structured/semi-structured/unstructured data from multiple source systems, and perform dimensional data modeling.

What You Will Do

Write & optimize complex SQL, tune query performance, reduce resource cost, and improve pipeline stability and SLA. Implement data quality rules, anomaly detection, monitoring & alerting, and troubleshoot data lineage and data consistency issues.

Why It Might Be a Fit

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, and documentation for schema and pipelines.

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.

Benefits

• Internal Referral bonus of RMB 3000 (Valid only for Bosch associates)

Tagged as: Pipeline Management, SQL