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Mid-level metro data-engineer role with common skills and a known enterprise brand drives high competition.
Core data engineering skills are transferable, though partner monetization and billing domain knowledge favors similar industries.
Explicit 5–8 year requirement and specific data/tool expectations create moderately strict shortlisting.
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Own standardization and optimization of end-to-end partner processes including onboarding, engagement, billing, and monetization to ensure scalability and efficiency.
Develop, maintain, and enforce SOPs and governance frameworks for consistency, compliance, and scalable partner monetization models.
Utilize Power BI, SQL, Python, and AI/ML techniques to create scalable reporting, advanced analysis, and deliver actionable insights to leadership for informed decision-making.
Bachelor’s degree in computer science, IT, or related field.
5–8 years of relevant experience in data engineering, analytics, or business operations.
Technical skills: Power BI, SQL, Python; familiarity with relational databases (Oracle, MySQL).
Experience with pricing, billing, or revenue operations preferred but not explicitly mandatory.
Experienced in designing and scaling complex operational processes in partner or network ecosystems.
Skilled in applying AI/ML techniques to improve reporting accuracy and business insights.
Able to translate technical data into actionable business insights and influence decision-making at leadership level.