1 месяц назад
Modeling and Visualization Engineer Co-Op (Power BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Modeling and Visualization Engineer Co-Op (Power BI) (BI and cloud analytics): Building and validating Power BI semantic models against enterprise data warehouses during a Snowflake-to-Databricks transition with an accent on DirectQuery and Import tuning, SQL optimization, and actionable metrics. Focus on monitoring and troubleshooting analytics platforms, managing access and governance, documenting AI architectures, and supporting Azure-based SaaS infrastructure.
Location: Hanover, Pennsylvania, United States; onsite
Company
is a food company with a portfolio of established consumer brands, including , Goldfish, Pepperidge Farm, Prego, Rao's Homemade, and V8.
What you will do
- Build and validate Power BI semantic models that reference enterprise data warehouses.
- Determine whether DirectQuery or Import mode is appropriate for table ingestion and improve SQL generated through Power Query.
- Develop enterprise reporting from Databricks and align it with trusted Snowflake-based reporting.
- Research tools and approaches that improve reporting development throughput and validation.
- Support administration, monitoring, troubleshooting, access management, and governance for Databricks, Snowflake, Power BI Service, and other SaaS platforms.
- Document model schemas, API integrations, AI governance standards, operational guides, and root-cause analysis findings.
Requirements
- Current graduate or undergraduate student in Computer Science, Artificial Intelligence, Mathematics, Information Systems, IT, Engineering, or a related field.
- Experience creating Power BI semantic models connected to a data warehouse and validating results against source data or existing reports.
- Ability to write and understand moderately complex SQL.
- Familiarity with AI concepts through coursework or personal projects.
- Strong analytical, problem-solving, communication, documentation, and learning skills.
- Ability to work collaboratively in an Agile, team-based environment and troubleshoot platform issues.
Nice to have
- Microsoft Azure coursework or exposure, including Azure Fundamentals (AZ-900).
- Knowledge of cloud computing concepts such as compute, storage, networking, and identity.
- Experience with Excel for validating reporting results.
- Exposure to Tableau, Databricks, Snowflake, or other analytics and BI tools.
- Advanced AI-agent approaches for transitioning Power BI semantic-model logic between Snowflake and Databricks.
Culture & Benefits
- Hands-on training with Power BI, Databricks, Snowflake, Azure, and Power BI Service.
- Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments.
- Practical experience with cloud and SaaS reporting infrastructure.
- Collaboration with BI, AI, and Platform teams in an Agile environment.
- Opportunities to participate in team meetings and knowledge-sharing sessions.
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