**DESCRIPTION** + **Product&Business Alignment**– Collaborate with the Product Owner to align data solutions with business objectives and product vision. + **Data Pipeline Development** – Design, develop, and implement efficient data pipelines for ingesting, transforming, and transporting data into Cummins Digital Core (Azure DataLake, Snowflake) from various sources, including transactional systems (ERP, CRM). + **Architecture&Standards Compliance**– Ensure alignment with AAI Digital Core and AAI Solutions Architecture standards for data pipeline design, storage architectures, and governance processes. + **Automation&Optimization**– Implement and automate distributed data systems, ensuring reliability, scalability, and efficiency through monitoring, alerting, and performance tuning. + **Data Quality&Governance**– Develop and enforce data governance policies, including metadata management, access control, and retention policies, while actively monitoring and troubleshooting data quality issues. + **Modeling&Storage**– Design and implement conceptual, logical, and physical data models, optimizing storage architectures using distributed and cloud-based platforms (e.g., Hadoop, HBase, Cassandra, MongoDB, Accumulo, DynamoDB). + **Documentation&Best Practices**– Create and maintain data engineering documentation, including standard operating procedures (SOPs) and best practices, with guidance from senior engineers. + **Tool Evaluation&Innovation**– Support proof-of-concept (POC) initiatives and evaluate emerging data tools and technologies to enhance efficiency and effectiveness. + **Testing&Troubleshooting**– Participate in the testing, troubleshooting, and continuous improvement of data pipelines to ensure data integrity and usability. + **Agile&DevOps Practices**– Utilize agile development methodologies, including DevOps, Scrum, and Kanban, to drive iterative improvements in data-driven applications. **RESPONSIBILITIES** **Qualifications:** + Bachelor's degree in a relevant technical discipline, or equivalent experience required. +This position may require licensing for compliance with export controls or sanctions regulations. **Competencies:** + **System Requirements Engineering:** Translate stakeholder needs into verifiable requirements, establish acceptance criteria, track requirement status, and assess impact changes. + **Collaborates:** Build partnerships and work collaboratively with others to meet shared objectives. + **Communicates Effectively:** Deliver multi-mode communications tailored to different audiences. + **Customer Focus:** Build strong customer relationships and providecustomer-centric solutions. + **Decision Quality:** Make good and timely decisions that drive the organization forward. + **Data Extraction:** Perform ETL activities from various sources using appropriate tools and technologies. + **Programming:** Develop, test, and maintain code using industry standards, version control, and automation tools. + **Quality Assurance Metrics:** Measure and assess solution effectiveness using IT Operating Model (ITOM) standards. + **Solution Documentation:** Document knowledge gained and communicate solutions for improved productivity.+ **Solution Validation Testing:** Validate configurations and solutions to meet customer requirements using SDLC best practices. + **Data Quality:** Identify, correct, and manage data flaws to support effective governance and decision-making. + **Problem Solving:** Use systematic analysis to determine root causes and implement robust solutions. + **Values Differences:** Recognize and leverage the value of diverse perspectives and cultures. **QUALIFICATIONS** **Preferred Experience:** + Hands-on experience gained through internships, co-ops, student employment, or team-based extracurricular projects. + Proficiency in SQL query language and experience in developing analytical solutions. + Exposure to open-source Big Data technologies such as Spark, Scala/Java, MapReduce, Hive, HBase, and Kafka. + Familiarity with cloud-based, clustered computing environments and large-scale data movement applications. + Understanding of Agile software development methodologies. + Exposure to IoT technology and data-driven solutions. **Technical Skills:** 1. **Programming Languages:** Proficiency in Python, Java, and/or Scala.2. **Database Management:** Expertise in SQL and NoSQL databases. 3. **Big Data Technologies:** Hands-on experience with Hadoop, Spark, Kafka, and similar frameworks. 4. **Cloud Services:** Experience with Azure, Databricks, and AWS platforms. 5. **ETL Processes:** Strong understanding of Extract, Transform, Load (ETL) processes. 6. **Data Replication:** Working knowledge of replication technologies like Qlik Replicate is a plus. 7. **API Integration:** Experience working with APIs to consume data from ERP and CRM systems. **Job** Systems/Information Technology **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2411593 **Relocation Package** No