Senior Data Engineer, AI and Systems Engineering
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About This Role
The Senior Data Engineer will help build a unified data foundation for asset visibility, cost optimization, and security insights across the company. This role involves designing scalable pipelines and data models to bring together data from multiple sources. The engineer will partner with various teams to define data standards and deliver high-impact solutions. The goal is to raise the bar on data quality and governance while building reliable systems.
Key ResponsibilitiesAI-extracted
- 1Design and build scalable data pipelines using Databricks and Spark to ingest, transform, and unify data from multiple enterprise systems
- 2Develop and maintain medallion architecture data models to create reliable and performant datasets
- 3Implement data normalization, mapping, and entity resolution techniques to unify asset data across disparate systems
- 4Build data workflows to detect and surface Shadow IT across financial, identity, endpoint, and network signals
- 5Partner with IT, Security, Finance, Procurement, and GRC teams to define and enforce data standards for critical CMDB attributes
RequirementsAI-extracted
- 9+ years of experience building and maintaining data pipelines and large-scale data platforms
- Strong experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation
- Experience designing data models and architectures such as medallion architecture, data lakes, or lakehouse systems
- Proficiency in Python or similar programming languages for data engineering and ETL development
- Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets
Perks & BenefitsAI-extracted
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