Data Engineer, Data Products
Core
Building and maintaining scalable data products and a cloud-based Data Foundation to enable analytics, AI, and digital use cases across the organization.
Role type
Senior Data Engineer (Data Products)
Builds
Cloud-based data products, data pipelines, and a multi-cloud Data Foundation.
Domain
Industrial IoT / Elevators & Escalators / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, DevOps, multi-cloud architecture, lake house architecture (Delta Lake), ETL development, SQL, Python, Terraform, AWS CDK, DataOps, ITSM processes, enterprise data landscape management.
Preferred skills
Scala, DBT, Unity Catalog, multi-hop medallion architecture, data product publishing.
Technologies
AWS, Azure, Databricks, Delta Lake, Airflow, SCL, Gitlab, Python, Scala, DBT, AWS CDK, Terraform, Unity Catalog, Jira, Confluence, draw.io, SAP ERP, Salesforce, PDM.
Responsibilities
Develop and maintain data pipelines on multi-cloud stacks, optimize workloads, implement lake house architectures, write technical documentation, and collaborate on data product publishing.
Seniority
Senior, hands-on IC