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Daas Data Engineer

10.00 to 15.00 Years   Mumbai City   24 Jun, 2024
MONDELEZ INDIA FOODS PRIVATE LIMITED
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    As a Data Engineer within the Mondelez Data & Analytics team, you will be working towards the following objectives:Commercial reporting & insights: o Build a single source of truth for commercial reporting with UI-friendly dashboards, leveraging diverse data from across the organization.o Create robust data pipelines to support the automated dashboards tailored to different audiences/power users.o Evolve dashboards and data models based on insights from testing and user feedback.Revenue Growth Management: o Build data pipelines to feed AI models that enhance key RGM levers and provide automated, real-time recommendations.o Implement the data architecture needed to develop simulation and optimization capabilities using AI to recommend detailed pricing, product mix, and promotion strategy to our customers.Job specific requirements:
    • 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 industry-specific 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
    Education / Certifications:
    • Bachelors degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
    • 10 years of experience in a data engineering role, preferably in CPG.

Keyskills :
data as a servicegoogle cloud platformdata integrationdata securitydata engineeringdata warehousing

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