- Build a single source of truth for commercial reporting with UIfriendly dashboards, leveraging diverse data from across the organization.
- Create robust data pipelines to support the automated dashboards tailored to different audiences/power users.
- Evolve dashboards and data models based on insights from testing and user feedback.
- Build data pipelines to feed AI models that enhance key RGM levers and provide automated, realtime recommendations.
- Implement the data architecture needed to develop simulation and optimization
- Experience working on teams to design and develop data models with highquality data flow.
- Passion for using data to drive business growth and ability to work with data in an
- Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to nontechnical individuals.
- Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
- 10+ years of experience in a data engineering role, in CPG .
- Work on developing efficient data models and dashboards, leveraging various existing data sources across the organization.
- Ingest, transform, and model data to execute the product vision set by the technical and business owners. Focus on maintaining a balance between technology and execution efficiency.
- Design and maintain ETL processes for data integration and ensure data accuracy and integrity.
- Collaborate with data scientists and analysts to provide necessary data for their analyses and models.
- Monitor data processing systems to ensure efficiency, reliability, and uptime.
- Stay updated on the latest technologies and best practices in data engineering and database management.
- Ensure compliance with data privacy regulations and best practices.
- Work with multiple APIs to extract/send data.
- Understanding of the consumer goods industry or similar industries.
- Understanding industryspecific external data sources used to measure and track performance (e.g., Nielsen).
- Proficiency in data warehousing solutions , particularly in the Google Cloud Ecosystem.
- Understanding data containerization, orchestration, processing, and versioning tools and platforms.
- Prior work in DevOps or understanding of CI/CD pipelines.
- Exposure to data security standards and best practices.
-
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Mondelez International - Mumbai, India - Mondelez india foods private limited
Description
More about this role :
In this role, you will have the opportunity to work on the development of a cutting-edge solution that aims to automate commercial reporting and insights to standardize business performance across the organization.
What you need to know about this position :
Our team is at the forefront of driving AI, data, and analytics across Mondelez.
As a Data Engineer within the Mondelez Data & Analytics team, you will be working towards the following objectives:
- Commercial reporting & insights :
Revenue Growth Management :
What extra ingredients you will bring :