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Data Platform Developer
1 week ago
Cummins Inc. is seeking a highly skilled Data Engineer to join our team. The ideal candidate will have a strong understanding of system requirements engineering principles and the ability to translate stakeholder needs into verifiable requirements. Additionally, you will have hands-on experience with Spark, Azure Databricks, and Scala/Python programming languages, as well as a strong understanding of SPARK Streaming, SPARK Internals, and Query Optimization.
You will work collaboratively with our Business and IT teams to design and implement physical data models and storage architectures based on best practices. Your expertise in data governance processes, managing metadata, access, and data retention will ensure data quality and integrity through continuous monitoring and troubleshooting. In addition, you will participate in testing and troubleshooting of data pipelines and utilize agile development technologies such as DevOps, Scrum, and Kanban for continuous improvement in data-driven applications.
Key Responsibilities:
- Implement and automate deployment of distributed systems for ingesting and transforming data from various sources (relational, event-based, unstructured).
- Develop and operate large-scale data storage and processing solutions using cloud-based platforms (e.g., Data Lakes, Hadoop, HBase, Cassandra, MongoDB, DynamoDB).
- Ensure data quality and integrity through continuous monitoring and troubleshooting.
- Implement data governance processes, managing metadata, access, and data retention.
- Develop scalable, efficient, and quality data pipelines with monitoring and alert mechanisms.
- Design and implement physical data models and storage architectures based on best practices.
- Analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
- Participate in testing and troubleshooting of data pipelines.
- Utilize agile development technologies such as DevOps, Scrum, and Kanban for continuous improvement in data-driven applications.