Senior Data Engineer

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Cummins Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

⚡ Energy

🚗 Transport

🔧 Hardware

💰 $75M Grant on 2024-07

Energy • Transport • Hardware

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

📋 Description

• Leads projects for design, development and maintenance of a data and analytics platform. • Effectively and efficiently process, store and make data available to analysts and other consumers. • Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. • Works on one or many product teams at a time. • Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). • Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. • Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. • Designs and provides guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. • Designs and implements physical data models to define the database structure. • Optimizing database performance through efficient indexing and table relationships. • Participates in optimizing, testing, and troubleshooting of data pipelines. • Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). • Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. • Assists with renovating the data management infrastructure to drive automation in data integration and management. • Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members.

🎯 Requirements

• Intermediate experience in a relevant discipline area is required. • Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: • Familiarity analyzing complex business systems, industry requirements, and/or data regulations • Background in processing and managing large data sets • Design and development for a Big Data platform using open source and third-party tools • SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework • SQL query language • Clustered compute cloud-based implementation experience • Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources • Experience in building analytical solutions • Intermediate experiences in the following are preferred: • Experience with IoT technology • Experience in Agile software development

🏖️ Benefits

• Equal employment opportunities for all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.