Job Description
Required Qualifications
· 7+ years of experience in Data Engineering, with at least 2 years in a Lead or Senior/Principal role.
· Deep expertise in the Azure Data Platform, including Azure Databricks and Azure Synapse Analytics.
· Expert-level proficiency in Python and PySpark for data processing and ETL development.
· Strong hands-on experience with Power BI development, including DAX, data modeling, and governance.
· Proven ability to manage technical teams and drive support operations in an onshore/offshore delivery model.
· Exceptional verbal and written communication skills with a track record of successful client/customer interaction and conflict resolution.
· Solid understanding of cloud security, networking, and governance principles in Azure.
· Experience with version control systems (e.g., Git) and CI/CD pipelines (e.g., Azure DevOps).
· 7+ years of experience in Data Engineering, with at least 2 years in a Lead or Senior/Principal role.
· Deep expertise in the Azure Data Platform, including Azure Databricks and Azure Synapse Analytics.
· Expert-level proficiency in Python and PySpark for data processing and ETL development.
· Strong hands-on experience with Power BI development, including DAX, data modeling, and governance.
· Proven ability to manage technical teams and drive support operations in an onshore/offshore delivery model.
· Exceptional verbal and written communication skills with a track record of successful client/customer interaction and conflict resolution.
· Solid understanding of cloud security, networking, and governance principles in Azure.
· Experience with version control systems (e.g., Git) and CI/CD pipelines (e.g., Azure DevOps).
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