DataBricks Data Engineer requires: • Must have functional and technical experience with Sales Incentive Compensation (SIC) including incentive plan design, quota allocation, attainment tracking, commission calculations, and payout processing. • At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions. • Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows. • Strong proficiency in Python and/or Scala for data engineering; SQL expertise required. • Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration. • Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent. • Passion and ability to create holistic, end-to-end, integrated data solutions. • Familiarity with SIC platforms (e.g., Anaplan, Oracle ICM, Varicent) and experience integrating them with data engineering platforms is a strong plus. • Ability to understand complex incentive compensation rules and model them accurately in data pipelines and transformation logic •
Not specified in the original listing.
Not specified in the original listing.
Global Channel Management, Inc. specializes in managing and supporting channel partners and resources across various sectors. Focused on enhancing operational efficiencies and protective measures, the company aims to provide robust asset protection s... Read More