Databricks Developer

7 days ago


Chennai, Tamil Nadu, India RapidBraiins Full time

Role : Databricks Developer


Job Description :


- Good experience with Modeling and Transactional data.

- Random forest, logistic regression, clustering, TF IDF, Recommendation engines.

- Serve as the subject matter expert in one of the key data domains (e.UPC data, location data, orders data), utilizing deep domain knowledge to enhance data quality, integration, and usability.

- Build, deploy, and troubleshoot predictive models to enhance targeted advertising efforts, ensuring models are robust, scalable, and precisely aligned with business objectives to generate and refine audience segmentation for optimized ad targeting effectively.

- Lead the integration of third-party data sets with core transaction data while crafting intuitive, user-friendly data tables and interfaces that empower non-technical users to access and utilize data easily.

- Play a critical role in strategic planning sessions, using data insights to inform business strategies, identify new opportunities, and recommend data-driven solutions to complex business challenges.

- Design and implement Python models for a recommendation engine, enhancing category understanding and product recommendations.

- Troubleshoot and resolve data feeds and ETL processes issues, collaborating with data engineers to ensure data accuracy and availability.

- Develop and refine QA processes to ensure continuous data quality from diverse sources, including continuous feeds.

- Utilize UPC data analysis to craft distinct shopper personalities, uncovering unique consumer preferences for targeted marketing initiatives.

- Analyze third-party location data to derive consumer behavior insights, enhancing targeting strategies for retailers and CPG manufacturers.

- Integrate and analyze diverse third-party data, including panel and transaction data, to enrich targeting and insights for advertising strategies, offering a deeper understanding of consumer behavior beyond our retail network.

- Work with demographics and web browsing data to support the development of shopper personalities for targeted marketing campaigns

- Participate in migrating data to a cloud-based platform, enhancing computing capabilities and data accessibility.

- Debug machine learning pipelines in operational failures, identify root causes, and implement corrective actions.

- Support the Shopper Personality process by creating and updating models that classify shoppers, improving sales team targeting.

- Develop Shiny-based tools for non-technical team access to data and analytics, enhancing cross-functional team efficiency

(ref:hirist.tech)

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