Senior Data Engineer

November 7, 2024

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Cummins Inc.

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At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams, coaching, development and opportunities to make a difference. Across our entire organization, you'll find engineers, developers, and technicians who are innovating, designing, testing, and building. You'll also find accountants, marketers, as well as manufacturing, quality and supply chain specialists who are working with technology that's just as innovative and advanced.

Cummins Engine Business • Cummins Power Generation • Cummins Distribution Business • Cummins Turbo Technologies • Cummins Emission Solutions

10,000+ employees

🔥 Funding within the last year

💰 $75M Grant on 2024-07

📋 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 provide 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

• College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. • Intermediate experience in a relevant discipline area is required. • Knowledge of the latest technologies and trends in data engineering are highly preferred including: - 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