Senior Data and Analytics Engineer

Preferred

• Supply Chain or Operations domain knowledge across planning, sourcing, inventory, manufacturing, logistics, or distribution.
• Experience with streaming technologies such as Amazon Kinesis, Apache Kafka, Spark Structured Streaming, or equivalent platforms.
• Working experience with AWS Lake Formation, IAM, Secrets Manager, CloudWatch, CloudTrail, and enterprise controls for secure data platforms.
• Experience exposing data through APIs, semantic models, governed data services, or feature/context layers for AI-enabled applications.
• Relevant cloud or data engineering certifications are beneficial but not required.
• 5+ years of hands-on experience designing and delivering enterprise modern data warehouse, Lakehouse, data engineering, and analytical solutions.
• Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.