Equipment Analysis And Optimization Lead
Komatsu America Corp
Milwaukee , WI 53201
Posted 4 weeks ago
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Komatsu is an indispensable partner to the construction, mining, industrial and forestry industries that maximizes value for customers through innovative solutions. With a full line of products supported by our advanced IoT technologies, regional distribution channels and a global service network, we help customers safely and sustainably optimize their operations. Our Komatsu, P&H, Joy, Montabert, Modular Mining Systems, Hensley Industries, NTC and Gigaphoton equipment and services are used to extract fundamental minerals and develop modern infrastructure.Job OverviewDo you have a passion for data warehouse design? Are you an inovative, independent thinker? Komatsu has an exciting opportnuity for an Equipment Analysis & Optimization Lead to join our team! Check out the details below for more information.Responsibilities * Optimize data model design and development for new and existing Komatsu Mining data projects. * In collaboration with global Komatsu Mining companies and dealer infrastructure and data science teams, develop innovative solutions for problems in the space of stream processing, data warehousing, ETL/ELT for diverse 'big data' sets. * Deliver solutions in the form of deployed pipeline applications that integrate disparate cloud and edge data interfaces for IIoT data streams. * Admin current operational datastores, databases and ETL jobs, and support offshore resources currently doing this work. * Actively drive continuous improvement and implementation of best practices for global analytics development processes, to ensure consistency of data models and applications. * Support stakeholders in customer regions, Product Management, Engineering, and Data Science teams, to assist with technical problems and driving initiatives that serve their infrastructural use cases.Education / QualificationData modeling in traditional databases and big databases * Data pipeline development * Data warehouse design and implementation * Streaming frameworks and tools, e.g., kafka, spark streaming, NiFi, etc. * Development on distributed systems in cloud environment * Containerized application development and deployment, kubernetes * Experience in combining big structured and unstructured data sets from disparate sources via fault-tolerant techniques and technologies. * Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines.
Requires a minimum of Bachelor's degree in Computer Science or Engineering, or equivalent experience and 5+ years of experience in one or more of the following areas:*
* Deep expertise in SQL and NoSQL technologies, one of Python, Java, or Scala, strong command of linux, containers, Git version control, parallelized computation (Spark), modern BI tools (MS Power BI, Tableau), cloud data services (Azure), Agile Development methodology, excellent communication skills, test-driven development, requirements gathering, drive for results. Excellent track record driving data engineering solutions through complete project life cycle.We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.