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Mid-level, metro-based Data Engineer role with common skills and broad requirements increases applicant competition.
Core data engineering skills transfer well, but Azure Fabric and executive reporting require moderate domain-specific fit.
Explicit 5–10 years plus mandatory Azure, Fabric, Spark, Python, Power BI experience enforces strict screening.
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Enable data engineers and analysts by providing guidance on best practices in data engineering and delivering high-performing reports and visualizations.
Collaborate with stakeholders to understand data needs and translate business requirements into data and technical design artifacts.
Develop executive-level reporting, dashboards, and enablement content including documentation and video recordings to drive data-driven decision-making.
5-10 years of experience as a Data Engineer and Analyst with a strong engineering mindset.
Proficiency in Azure Data Platform technologies including Microsoft Fabric, Spark, Python, Power BI, and SQL.
Strong programming skills in Python and SQL and experience in Power BI reporting and dashboard development.
Work Experience Required: 5-10 years in data engineering and analytics roles.
Experienced in translating business requirements into technical data solutions with a strong ability to document and communicate to a technical and non-technical audience.
Skilled in community engagement, mentoring, and onboarding within data teams, indicating a collaborative and enablement-focused operating style.
Familiarity with agile delivery methods, data governance frameworks, and dimensional modeling to suit enterprise data environments.