Data Engineer

As a Data Engineer at Mondelez International's Supply Chain team, you will design scalable cloud-based data solutions on GCP and AWS.

Your key responsibilities include:

• Developing and maintaining ETL pipelines to extract, transform, and load (ETL) critical supply chain data into warehouses/lakes using tools like DBT, Databricks, Airflow, and Kafka.
• Ensuring high data quality through validation processes on platforms such as Collibra or Ataccama.
• Built robust data models using SQL/PLSQL and Python (PySpark) to uncover patterns driving business performance.
• Leveraging visualization tools like Tableau, PowerBI, and Looker for stakeholder reporting.

Required Skills: Proficiency in Python, Java/Go, PySpark; experience with BigQuery, Redshift, S3; knowledge of data warehousing concepts (SCD); familiarity with GCP services (Dataflow, Dataplex) and AWS (Glue, EMR).