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Job Description
Structured overview of role & requirementsAbout This Role
Own and design the data architecture and harmonized data mart integrating media spend, impressions, offers, trade investment, and sell-out on a weekly basis.
Define and maintain the variable dictionary for the data mart to ensure consistent data usage.
Take ownership of MLOps including deployment automation, model refreshes, CI/CD, and model monitoring.
Minimum Requirements
4 to 6 years of experience in data engineering or related fields.
Strong skills in data modelling and warehouse design.
Proficiency in advanced SQL, Python, and cloud data platforms such as Snowflake, BigQuery, or Databricks.
Experience with orchestration tools like Airflow/dbt and knowledge of MLOps, CI/CD, data governance, and cost optimization.
Ideal Candidate Profile
Experienced in end-to-end data engineering with ownership of architectural design and operational deployment.
Skilled in integrating multiple data sources for reconciled business insights on a regular cadence.
Comfortable working with MLOps practices and automation for scalable model deployment and monitoring in cloud environments.