
Unlocking Business Insights: Data Engineer Position
1 week ago
Job Description
We are seeking a highly skilled Data Engineer to join our organization. This is a hands-on implementation role focused on building scalable data models, data pipelines, and impactful dashboards for enterprise clients.
Key Responsibilities:
- Lead architecture, setup, and delivery of analytics projects using Oracle Analytics Cloud (OAC), Autonomous Data Warehouse (ADW), and related tools.
- Develop custom calculations, time series functions, and metrics tailored to business KPIs.
- Extend and maintain the semantic model to support complex reporting needs.
- Design and implement data pipelines between NetSuite and ADW/OAC.
- Build data models, transformation logic, KPIs, and dashboards for finance and operational reporting.
- Troubleshoot technical issues and performance bottlenecks across data layers.
- Define best practices for solution design, governance, and documentation.
- Collaborate with functional consultants to understand reporting requirements.
- Provide technical leadership and mentorship to junior team members.
Requirements and Qualifications
The ideal candidate should have:
- 1 to 3+ years of hands-on experience in Oracle Analytics / Business Intelligence / Data Warehousing.
- Strong implementation experience with:
- NetSuite Analytics Warehouse (NSAW)
- Oracle Analytics Cloud (OAC)
- Autonomous Data Warehouse (ADW)
- Solid understanding of NetSuite data structures and reporting needs.
- Bachelor's degree in computer science, Engineering, Data Analytics, or related field.
- Oracle certifications (preferred but not mandatory).
Benefits and Opportunities
As a key member of our team, you will have opportunities to:
- Work independently and own the delivery of technical solutions.
- Contribute to the development of innovative data solutions.
- Grow professionally through training and mentorship programs.
Essential Skills and Qualifications
The successful candidate must possess:
- Strong SQL skills and experience with data transformations.
- Proficiency in building visualizations, reports, and dashboards.
- Understanding of data modelling (star schema, snowflake, etc.).
- Experience with semantic model extensions, calculated fields, and custom logic.
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