Data Engineer (all genders)
Core
Design, build, and maintain scalable data pipelines (ETL/ELT) and data platforms (Warehouse/Lake/Lakehouse) to integrate data from ERP, CRM, IoT, and production systems for analytics, BI, and AI applications.
Role type
Data Engineer
Builds
Scalable data pipelines and centralized data platforms
Domain
Manufacturing / Industrial IoT / Data Engineering
Deliverable
production ML models
Required skills
SQL, NoSQL, Python, Spark, Cloud platforms (Azure, GCP), Data Warehouse/Lake/Lakehouse architecture, Data Governance
Preferred skills
IoT/Sensor data integration, Data Quality monitoring, Performance optimization
Technologies
Azure, GCP, Spark, SQL, NoSQL
Responsibilities
Develop and operate scalable ETL/ELT pipelines; Integrate data from ERP, CRM, IoT, and production systems; Build and optimize data warehouse/lake/lakehouse architectures; Ensure data quality, consistency, and availability; Provide data for analytics, BI, and AI applications; Monitor and optimize data processing performance; Implement security, privacy, and governance standards; Collaborate with Data Architects, Data Scientists, and business units.