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Tier-1 brand, metro location, popular data role and broad skillset drive high competition.
Requires data platform and Azure expertise, moderately limiting cross-industry transferability.
Requires Azure data platform, production-grade and governance experience, so moderately strict.
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Design, build, and evolve scalable data platforms, ingestion pipelines, and data models supporting enterprise-grade applications and analytics.
Ensure production readiness through automation, validation, testing, and monitoring of data pipelines and data quality.
Collaborate with cross-functional engineering teams and support data governance, security, and enterprise architecture compliance.
Experience in data engineering, including building and maintaining ETL/ELT pipelines and data platforms.
Proficiency with Azure data services (Azure SQL, Blob Storage, Fabric or equivalent) and programming skills in Python and SQL.
Degree in Software Engineering, Computer Science, Data Engineering, or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering production-grade, scalable data solutions in Agile environments.
Familiar with data governance, validation, versioning, and embedding QA practices into data engineering workflows.
Able to leverage AI-assisted engineering tools for data pipeline development, validation, and continuous improvement.