Data Engineer - Operational Support (Co-op)
Campbell Soup Company5 months ago
Camden, NJ, USAIntern
Responsibilities
- Build and support scalable data pipelines and ETL/ELT workflows.
- Ingest and integrate data from SAP, APIs, databases, flat files, and cloud platforms.
- Develop data transformations using Python, PySpark, and SQL.
- Support data modeling, STTM, semantic layers, Power BI datasets, and reporting solutions.
- Prepare datasets for analytics, reporting, and AI/ML solutions.
- Monitor pipeline health, data refreshes, workloads, integrations, and platform performance.
- Troubleshoot failures, performance issues, and data quality problems.
- Support incident triage, root-cause analysis, issue resolution, and documentation of fixes.
- Assist with deployments, testing, automation, and CI/CD activities.
- Create runbooks, technical designs, and documentation.
- Participate in sprint planning, stand-ups, and retrospectives.
- Explore automation and AI-driven operational improvements.
Requirements
- Pursuing a degree in Computer Science, Data Engineering, Data Science, or a related field.
- Basic knowledge of SQL and relational databases.
- Programming experience 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 preferred.
- Exposure to AI/ML, CI/CD, or DevOps is beneficial.
- Strong problem-solving, analytical, communication, and teamwork skills.
- Self-motivated with a willingness to learn.
Benefits
- Co-op experience includes hands-on work with Databricks, Snowflake, Azure, ADLS, and ADF.
- Receive mentorship from Data, Platform, and AI/ML engineers.
- Gain experience in Agile/Scrum and DevOps environments.
- Receive exposure to enterprise use cases across supply chain, finance, reporting, and AI/ML.