Data Engineer
Indexed description
The role blends traditional data engineering with analytics engineering. You will build and maintain pipelines, but you will also shape the semantic models and reporting infrastructure that business users rely on.
Requirements
Job Duties:
- Develop and optimize complex SQL queries, views, materialized views, and stored procedures
- Design, build, and maintain ETL/ELT pipelines for data extraction, transformation, and loading
- Contribute to data architecture and data modeling decisions for reporting and analytics use cases
- Work across multiple database platforms to maintain data integrity, consistency, and performance
- Build and maintain reporting infrastructure, dashboards, and semantic models on top of the warehouse
- Lead technical work on data migration and system transition initiatives
Requirements:
- 8+ years of hands-on SQL development experience, including writing, debugging, and tuning complex queries in enterprise environments
- Strong experience with data architecture, data modeling, and ETL/ELT pipeline development
- Working experience with at least two relational database platforms, such as Oracle, Microsoft SQL Server / Azure SQL, PostgreSQL, or comparable enterprise systems
- Solid grounding in performance tuning, execution plan analysis, and data quality practices
- Hands-on experience with at least one BI/visualization platform (Power BI, Tableau, OAC, or equivalent)
- Experience supporting data migrations, ERP integrations, or enterprise system transitions
- Oracle SQL and PL/SQL experience
- NetSuite Analytics Warehouse (NSAW) or Oracle Fusion Analytics Warehouse (FAW) experience
- Familiarity with NetSuite as a source system, including its data structures and customization options
- Experience with Oracle Analytics Cloud (OAC), OBIEE, or semantic modeling in similar tools
- Python for automation, scripting, or pipeline work
- Experience with cloud data platforms — particularly Oracle Cloud Infrastructure (OCI), Azure, or AWS
- Deep business acumen within the manufacturing industry, with a proven ability to translate complex financial reporting, operations, and supply chain requirements into technical data solutions.
- Experience working closely with cross-functional departments (Finance, Operations, and Supply Chain) to align data engineering efforts with core business objectives and operational KPIs.
Summary
Why Join Mazzella?
- Team-Oriented Environment: Experience the power of collaboration and support from colleagues who genuinely care about your success.
- Work-Life Balance: Enjoy a real balance between your professional and personal life, ensuring fulfillment both at work and at home.
- Growth and Development: Embark on a lifelong learning journey with tailored development opportunities and a clear career path.
- Humble, Hungry, Smart Culture: Embrace our core values of humility, hunger for excellence, and smart decision-making, creating a culture of respect and innovation.
- Market-Competitive Salaries: Receive compensation that recognizes your contributions and reflects our commitment to fair and competitive pay.
- Comprehensive Benefits: Access a wide range of benefits, including paid time off, affordable health insurance, dental, vision, 401(k) with company match, life insurance, and disability insurance.
- Free Virtual Doctor Visits: Take advantage of our Teledoc service with $0 copay, prioritizing your health and convenience.
- Tuition Reimbursement: Invest in your future with our tuition reimbursement program, supporting your continued education and personal growth.
- Be Safe – A personal commitment to everyone’s well-being; purposeful control of risk.
- Be a Lifelong Learner – Routinely acquire new skills and capabilities that bring value.
- Be Humble – Emphasize the team over self, without ego or status.
- Be Hungry – Always looking for more, self-motivated, and committed to going above and beyond.
- Be Smart – Common sense about people; good judgment and intuition about group dynamics.
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