Data Engineer
Core
Designing, building, and optimizing data pipelines and architectures to support Telematic data flow and collection for cross-functional teams.
Role type
Senior Data Engineer
Builds
Data pipelines, data architectures, and infrastructure for data extraction, transformation, and loading.
Domain
Industrial equipment manufacturing / Telematics / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline architecture, SQL (advanced), Relational databases, NoSQL databases, AWS cloud services, Big data tools (Kafka), Root cause analysis, Data transformation processes, Handling large disconnected datasets (PLM, ERP, MES), Cross-functional collaboration
Preferred skills
Project management, Agile Scrum, Data visualization preparation, Stream processing, Message queuing
Technologies
Kafka, Redshift, Oracle, S3, Data Pipeline, Elasticsearch, Glue, EMR, Athena, Qlikview, QuickSight, Tableau, Business Objects
Responsibilities
Create and maintain data pipelines and code pipelines; Assemble large, complex data sets meeting business requirements; Identify, design, and implement internal process improvements and infrastructure redesign; Define infrastructure for optimal data extraction, transformation, and loading; Support data sets in analytics tools for operational insights; Work with stakeholders on data-related technical issues; Collaborate with data and analytics experts to enhance data system functionality
Seniority
Mid-Senior, hands-on IC
