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Strong employer brand, metro locations, and a generalist senior Data Engineer role increase competition.
Core data engineering skills are transferable, though contact-center domain knowledge is beneficial.
Explicit 8+ years, mandatory data engineering skills and specific tech stack enforce strict filters.
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Design and maintain ETL/ELT data pipelines to transform high-volume event and interaction data into analytics-ready datasets.
Develop and optimize SQL-based dimensional data models (star schemas) and maintain standardized KPIs and metrics for operational dashboards.
Support Power BI datasets and reports, troubleshoot production data issues, contribute to data governance, and build backend services using Go or similar languages.
8+ years of experience in data engineering or analytics engineering.
Strong SQL skills with experience in dimensional (star) schema design.
Hands-on experience building and operating ETL/ELT pipelines and supporting BI tools like Power BI.
Proficiency in Go (preferred) or another backend programming language; Experience working in production environments with real-time or operational data.
Experience with contact center, IVR, or digital interaction data ecosystems.
Familiarity with data governance, metric standardization, and semantic modeling practices.
Comfortable working in a high-ownership role that influences data architecture and standards in a product-focused engineering environment.