About
Design and implement the core architecture for the data ecosystem used for business analytics Build Azure Data Factory pipelines for high-scale data ingestion from various source systems to the Azure data lake Set technical standards for the Business Operations 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 (Azure Data Factory, Azure Data Lake Storage, 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 related technical discipline
Languages
- English
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