Brillio
Job requirements
Looking for a Data Engineer with Azure Data Stack expertise to design, build, and optimize large-scale data pipelines and analytics solutions. Key Responsibilities: • Develop and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics • Work with structured/unstructured data for analytics and reporting. • Optimize data models and storage for scalability and performance. • Collaborate with data scientists, BI developers, and business teams. • Ensure compliance with enterprise data governance and security standards. Required Skills: • Hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, Data Lake and fair idea of Fabrics • Strong proficiency in SQL, Python, PySpark. • Experience in ETL/ELT pipeline design, data warehousing, and real-time streaming. • Knowledge of Azure DevOps, CI/CD, and cloud data architecture best practices. • Excellent communication and problem-solving abilities. Together, we create the future you always aspired to. Explore your next career opportunity.
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Looking for a Data Engineer with Azure Data Stack expertise to design, build, and optimize large-scale data pipelines and analytics solutions. Key Responsibilities: • Develop and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics • Work with structured/unstructured data for analytics and reporting. • Optimize data models and storage for scalability and performance. • Collaborate with data scientists, BI developers, and business teams. • Ensure compliance with enterprise data governance and security standards. Required Skills: • Hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, Data Lake and fair idea of Fabrics • Strong proficiency in SQL, Python, PySpark. • Experience in ETL/ELT pipeline design, data warehousing, and real-time streaming. • Knowledge of Azure DevOps, CI/CD, and cloud data architecture best practices. • Excellent communication and problem-solving abilities. Together, we create the future you always aspired to. Explore your next career opportunity.
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