Data Engineer Co-op: Cloud Pipelines & Analytics

Campbell Soup Company; Camden (NJ); Sur place; USD 20 000 - 30 000; Plein temps

Résumé du poste

Campbell Soup Company is seeking a motivated Operational Support Data Engineer (Co-op) to join our Enterprise Data & Analytics team in a hands‑on role. You will help build scalable data pipelines, ingest data from SAP and APIs, and prepare datasets for analytics, AI/ML, and reporting using Databricks, Snowflake, Azure, and Power BI.

Collaboration in an Agile environment will be essential. You will gain mentorship, exposure to CI/CD, and experience across supply chain, finance, and enterprise

Qualifications

• Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields.
• Basic knowledge of SQL and relational databases.
• Programming in Python and/or PySpark.
• Understanding of ETL/ELT, data modeling, or STTM concepts.
• Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus.
• Exposure to AI/ML, CI/CD, or DevOps is beneficial.
• Strong problem‑solving and analytical skills.
• Strong communication and teamwork skills.

Responsabilités

• Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows.
• Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms.
• Data Transformation: Build transformations using Python, PySpark, and SQL.
• Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics.
• Support Analytics & AI/ML: Prepare datasets for reporting, AI/ML, and advanced analytics.
• Monitor & Troubleshoot: Track pipeline health and resolve failures, performance, and data quality issues.
• Data Operations: Support incident triage, root cause analysis, and operational monitoring.
• BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions.
• DevOps & CI/CD: Assist with deployments, testing, and automation.
• Agile Delivery: Participate in sprint planning, stand‑ups, and retrospectives.
• Documentation: Create runbooks, designs, and technical documentation.
• Automation & AI: Explore automation and AI‑driven improvements.
• Monitoring & Troubleshooting: Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
• Incident & Problem Resolution: Support issue resolution by partnering with senior engineers to perform basic root‑cause analysis and document fixes and learnings.

Connaissances

SQL

Python

PySpark

Databricks

Snowflake

Power BI

Azure

ETL/ELT

Data Modeling

CI/CD

DevOps

Formation

Pursuing a degree in Computer Science / Data Science

Outils

Databricks

Snowflake

Azure

ADF

ADLS

Power BI

Description du poste

Campbell Soup Company is seeking a motivated Operational Support Data Engineer (Co-op) to join our Enterprise Data & Analytics team in a hands‑on role. You will help build scalable data pipelines, ingest data from SAP and APIs, and prepare datasets for analytics, AI/ML, and reporting using Databricks, Snowflake, Azure, and Power BI.

Collaboration in an Agile environment will be essential. You will gain mentorship, exposure to CI/CD, and experience across supply chain, finance, and enterprise