ta integration, cloud-based analytics platforms, and DataOps practices.
The candidate will be responsible for designing, implementing, and managing industrial data lakehouse architectures and end-to-end data pipelines for manufacturing and industrial environments. The role includes handling data ingestion, validation, governance, monitoring, and ensuring reliable and scalable data flows across enterprise systems.
Professionals should have experience with IoT device and sensor connectivity, machine data integration, ETL/ELT pipeline development, and industrial data gateway solutions. Strong knowledge of cloud platforms, analytics ecosystems, and DataOps collaboration practices is highly preferred.
The role also involves working closely with DevOps, analytics, and application teams to optimize infrastructure, improve data quality, and support advanced analytics and reporting initiatives. Candidates should possess strong analytical thinking, troubleshooting abilities, and communication skills.
No data
