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Mondelēz International is seeking a Senior Data Engineer to support their analytics team by developing scalable cloud-based data solutions and maintaining data pipelines. The role emphasizes collaboration with various stakeholders to enhance business performance through effective data modeling and analysis.
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Job Summary
Join Mondelēz International to lead the future of snacking by designing scalable, secure, and cost-effective cloud-based data solutions.
You will execute the business analytics agenda using methodical approaches to uncover trends that drive long-term business performance.
The role offers opportunities to collaborate with analytics team leaders and external partners while ensuring data accuracy and integrity across warehouses and lakes.
Matching Summary
Match Score: 75
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Mondelēz International is seeking a Senior Data Engineer to support their analytics team by developing scalable cloud-based data solutions and maintaining data pipelines. The role emphasizes collaboration with various stakeholders to enhance business performance through effective data modeling and analysis.
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Skills & Requirements
Must-have
Python PySpark Go Java programming
SQL PL/SQL database management
ETL integration tools DBT Databricks
GCP AWS Azure cloud services
Data warehousing SCD schema types
Nice-to-have
Tableau PowerBI Looker visualization
Kafka Airflow supporting technologies
Problem-solving analytical thinking skills
Collaboration with product owners
Adaptability to emerging technologies
Key Requirements
Programming experience in Python PySpark Go or Java
Proficiency in SQL and PL/SQL
Experience with ETL tools like DBT Databricks Talend Informatica
Knowledge of GCP AWS or Azure cloud platforms
Understanding of Data Warehousing concepts including SCD