Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level data engineering role in a metro with broad toolset and known analytics employer increases candidate competition.
Requires cloud data platform and MLOps expertise, moderately limiting cross-industry transferability.
Explicit 4–6 years plus mandatory cloud data platform, orchestration, and MLOps skills tighten filters.
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.
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.
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.