Cummins Inc.
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.
Cummins Engine Business • Cummins Power Generation • Cummins Distribution Business • Cummins Turbo Technologies • Cummins Emission Solutions
10,000+ employees
Founded 1919
⚡ Energy
🚗 Transport
🔧 Hardware
🔥 Funding within the last year
💰 $75M Grant on 2024-07
Senior Data Engineer
March 19
Cummins Inc.
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.
Cummins Engine Business • Cummins Power Generation • Cummins Distribution Business • Cummins Turbo Technologies • Cummins Emission Solutions
10,000+ employees
Founded 1919
⚡ Energy
🚗 Transport
🔧 Hardware
🔥 Funding within the last year
💰 $75M Grant on 2024-07
📋 Description
• Design and automate the deployment of distributed systems for ingesting and transforming data from various types of sources (relational, event-based, unstructured). • Design and implement frameworks for continuously monitoring and troubleshooting data quality and integrity issues. • Implement data governance processes, ensuring effective management of metadata, access, and retention for both internal and external users. • Design and provide guidance on building reliable, efficient, and scalable data pipelines that integrate data from diverse sources using ETL/ELT tools or custom scripting. • Develop and implement physical data models and optimize database performance using efficient indexing and table relationships. • Create and manage large-scale data storage and processing solutions using cloud-based platforms like Azure Databricks, Data Lakes, Hadoop, and NoSQL databases (e.g., Cassandra, MongoDB). • Leverage modern tools and techniques to automate repeatable data preparation and integration tasks, minimizing manual efforts and error-prone processes. • Participate in agile development methodologies such as DevOps, Scrum, and Kanban to ensure timely delivery of critical analytics initiatives. • Mentor junior developers, collaborate with cross-functional teams, and contribute to the overall success of the data platform.
🎯 Requirements
• 6-8 years of hands-on experience in data engineering, with a focus on building data pipelines, and working with cloud-based data solutions (preferably Azure Databricks). • Advanced knowledge in Spark (Scala/PySpark), SQL, and cloud platforms like Azure. • Familiarity with the design, development, and maintenance of large-scale data storage solutions (Hadoop, NoSQL databases, Data Lakes). • Experience in mentoring junior developers and working in Agile development teams. • Advanced proficiency in SQL and Spark. • Expertise in data pipeline design and automation. • Knowledge of cloud data services (Azure Databricks, ADLS, EventHub, EventGrid). • Experience with CI/CD tools for pipeline deployment automation. • Familiarity with big data tools like Hive, Kafka, Hbase, and the use of Delta Lake. • Experience in building and optimizing ETL/ELT pipelines.
🏖️ Benefits
• None specified
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