Data Engineer at Appiness Inc.
About the role
Job Summary The Senior Data Warehouse Engineer is responsible for designing, building, and optimizing enterprise data pipelines and data models to transform complex operational data into scalable, consumable datasets. This role will focus on modernizing data from Oracle EBS and other sources into Azure-based platforms, enabling near real-time data availability through incremental load and UPSERT patterns. This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, an…
Interview process at Appiness Inc.
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Appiness Inc. interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.