**DESCRIPTION** **Although the role category specified in the GPP is Remote, the requirement is for Hybrid.** Key Responsibilities: + **Design and Automation** : Deploy distributed systems for ingesting and transforming data from various sources (relational, event-based, unstructured). + **Data Quality and Integrity** : Implement frameworks to monitor and troubleshoot data quality and integrity issues. + **Data Governance** : Establish processes for managing metadata, access, and retention for internal and external users. + **Data Pipelines** : Build reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms using ETL/ELT tools or scripting languages. + **Database Structure** : Design and implement physical data models to optimize database performance through efficient indexing and table relationships. + **Optimization and Troubleshooting** : Optimize, test, and troubleshoot data pipelines. + **Large Scale Solutions** : Develop and operate large-scale data storage and processing solutions using distributed and cloud-based platforms (e.g., Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB). + **Automation** : Use modern tools and techniques to automate common, repeatable, and tedious data preparation and integration tasks. + **Infrastructure Renovation** : Renovate data management infrastructure to drive automation in data integration and management. + **Agile Development** : Ensure the success of critical analytics initiatives using agile development technologies such as DevOps, Scrum, Kanban. + **Team Development** : Coach and develop less experienced team members. **RESPONSIBILITIES** **Qualifications:** + College, university, or equivalent degree in a relevant technical discipline, or equivalent experience required. Licensing may be required for compliance with export controls or sanctions regulations. **Competencies:** + **System Requirements Engineering** : Translate stakeholder needs into verifiable requirements; establish acceptance criteria; track requirements status; assess impact of changes. + **Collaboration** : Build partnerships and work collaboratively to meet shared objectives. + **Communication** : Develop and deliver communications that convey a clear understanding of the unique needs of different audiences. + **Customer Focus** : Build strong customer relationships and deliver customer-centric solutions. + **Decision Quality** : Make good and timely decisions to keep the organization moving forward. + **Data Extraction** : Perform ETL activities from various sources using appropriate tools and technologies. + **Programming** : Create, write, and test computer code, test scripts, and build scripts to meet business, technical, security, governance, and compliance requirements. + **Quality Assurance Metrics** : Apply measurement science to assess solution outcomes using ITOM, SDLC standards, tools, metrics, and KPIs. + **Solution Documentation** : Document information and solutions to enable improved productivity and effective knowledge transfer. + **Solution Validation Testing** : Validate configuration item changes or solutions using SDLC standards, tools, and metrics. + **Data Quality** : Identify, understand, and correct data flaws to support effective information governance. + **Problem Solving** : Solve problems using systematic analysis processes; implement robust, data-based solutions; prevent problem recurrence. + **Values Differences** : Recognize the value of different perspectives and cultures. **QUALIFICATIONS** **Skills:** + **ETL/Data Engineering Solution Design and Architecture** : Expert level. + **SQL and Data Modeling** : Expert level (ER Modeling and Dimensional Modeling). + **Team Leadership** : Ability to lead a team of data engineers. + **MSBI (SSIS, SSAS)** : Experience required. + **Databricks (Pyspark) and Python** : Experience required. + **Additional Skills** : Snowflake, Power BI, Neo4j (good to have). + **Communication** : Good communication skills. **Preferred Experience:** + 8+ years of overall experience. + 5+ years of relevant experience in data engineering. + Knowledge of the latest technologies and trends in data engineering. + **Technologies** : Familiarity with analyzing complex business systems, industry requirements, and data regulations. + **Big Data Platform** : Design and development using open source and third-party tools. + **Tools** : SPARK, Scala/Java, Map-Reduce, Hive, Hbase, Kafka. + **SQL** : Proficiency in SQL query language. + **Cloud-Based Implementation** : Experience with clustered compute cloud-based implementations. + **Large File Movement** : Experience developing applications requiring large file movement for cloud environments. + **Analytical Solutions** : Experience in building analytical solutions. + **IoT Technology** : Intermediate experience preferred. + **Agile Software Development** : Intermediate experience preferred. **Job** Systems/Information Technology **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2414041 **Relocation Package** No