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Strong employer brand, mid-level data engineer title, metro location, and common Azure skillset increase competition.
Core Azure data engineering skills are broadly transferable across industries with low sector specificity.
Explicit 4-8 years plus mandatory Azure/Databricks/ETL skills and CI/CD requirements make screening strict.
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Design, develop, and maintain cloud-native data solutions including data lakes and data marts on Azure platform.
Build and manage data pipelines integrating structured and unstructured data using ETL/ELT processes, ensuring enterprise data quality standards.
Deliver solutions in an Agile, CI/CD-driven environment using containerized Azure Kubernetes and scheduling tools with secure coding practices.
4-8 years of experience in data engineering or data application development (ETL/ELT/BI).
At least 2 years of experience in cloud-based data platform development, specifically Azure.
Bachelor’s degree in Computer Science or equivalent.
Proficiency in Azure Data Factory, Synapse, DataBricks, Cosmos DB, ADLS, SQL, Python, Spark, and ETL processes.
Experienced in working with Medallion architecture and enterprise-grade data modeling practices.
Comfortable working in Agile and CI/CD environments with secure coding and authentication protocols.
Capable of operating across global, multi-cultural teams with strong communication skills; knowledge of Japanese language is a plus.