Cummins is seeking a Senior AI Data Engineer to lead the design, development, and maintenance of scalable data and analytics platforms. This role involves working on multiple product teams, collaborating with IT experts, and delivering advanced analytics and AI solutions. The role also involves mentoring junior team members and driving automation and optimization across data engineering processes.
Requirements
- Strong expertise in Python, SQL, and Spark (PySpark preferred)
- Experience with ETL/ELT technologies and managing large-scale datasets
- Familiarity with Big Data frameworks and cloud-based clustered compute environments
- Exposure to graph data modeling, graph databases (Neo4j, TigerGraph), and Palantir Ontology (preferred)
- Knowledge of AI/ML workflows, model deployment, and advanced analytics techniques
- Experience with data governance, cataloging tools (Azure Purview, Alation), and metadata management
- Strong problem-solving, system design, and programming skills