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
Centralized data platforms and pipelines serving analytics, BI, and AI workloads
Domain
Manufacturing/Industrial IoT (implied by ERP, Production, IoT, Sensor systems)
Deliverable
production ML models | product features
Required skills
SQL, NoSQL, Python, ETL/ELT pipeline development, Cloud platforms (Azure, GCP), Spark, Data Warehouse/Lake/Lakehouse architecture, Data governance
Preferred skills
Frameworks like Spark, Data governance implementation
Technologies
Azure, GCP, Spark, SQL, NoSQL
Responsibilities
Develop and operate scalable data pipelines; Integrate data from diverse enterprise and IoT systems; Build and optimize data warehouse/lake/lakehouse architectures; Ensure data quality, consistency, and availability; Provide data infrastructure for analytics and AI; Monitor and optimize pipeline performance; Implement security and data protection measures; Collaborate with data architects and scientists.
Seniority
Mid-level to Senior, hands-on IC
