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Mid-level, popular Azure data role in a metro location with broad required skills increases competition significantly.
Azure-focused data engineering skills transfer across industries but require cloud-platform familiarity.
Mandatory 3–5 years plus specific Azure, Python, PySpark and data platform skills enforces high shortlisting strictness.
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Develop and deploy scalable data solutions on Azure cloud platform including building and maintaining ETL data pipelines.
Collaborate with multiple product and platform teams to translate data requirements into technical implementations and ensure data is well structured and accessible.
Maintain documentation for data pipelines, optimize for performance, and ensure compliance with data governance including security and privacy.
3 to 5 years experience in Azure data engineering roles.
Extensive hands-on experience with Azure Data Services such as Azure Data Lake Storage, Synapse Analytics, Data Factory, Databricks, and SQL Database.
Strong skills in SQL, Python, PySpark, and data warehouse design concepts.
Work Experience Required: 3 to 5 years in relevant Azure data engineering roles.
Demonstrated ability to operate as an individual contributor collaborating across technical and non-technical stakeholders to deliver data platform solutions.
Experience with data platform technologies including data warehouse, data lake, and big data ecosystems (e.g., SAP BW, Snowflake, Azure Data Platform).
Technical proficiency in cloud-native data services and ETL technologies, with a focus on scalable, optimized data pipeline development.