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About
Design and implement the core architecture for the company's data ecosystem used for business analytics Build robust Azure Data Factory pipelines for high-scale data ingestion from various source systems to the Azure data lake Set technical standards for the engineering team, including CI/CD, version control, and data quality testing
Required Qualifications
10+ years of experience in Data Engineering, focusing on cloud infrastructure and high-volume data movement Deep expertise in architecting the Azure Data Stack, including Azure Data Factory and Databricks Proven ability to build scalable ELT/ETL pipelines using Azure Data Factory and Databricks Expert-level proficiency in Python and Apache Spark for distributed data processing Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a closely related technical discipline
Languages
- English
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