JobRialto
Azure Data Engineer
JobRialto, Dallas, Texas, United States, 75215
Job Description
As an Azure Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
• In depth knowledge in SQL, Azure Databricks, Azure data factory, Azure Storage Services, Scala, Python, and Apache Spark, DevOps & GIT
• Hands-on experience in designing, developing, and optimizing scalable large volume pipelines to support the processing of structured and semi-structured data
• Implement data processing solutions using technologies such as Scala, Python, and Apache Spark, and ensure scalability, reliability, and performance
• Build and maintain data models, schemas, and databases to support analytical and reporting needs, and use SQL for data manipulation and querying
• Demonstrate advanced proficiency in data processing and retrieval.
• Develop robust data platforms, contributing to the organization's data-driven growth
• Exposure with CICD pipelines for the Azure resources
• Implement DevOps practices to ensure the efficient deployment, monitoring, and maintenance of data pipelines
• Knowledge and experience in a data warehouse environment with knowledge of data architecture patterns
Educational Qualifications: -
• Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory skills
• Data Engineering, Azure Data Factory, Azure Databricks\n
Education:
Bachelors Degree
As an Azure Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
• In depth knowledge in SQL, Azure Databricks, Azure data factory, Azure Storage Services, Scala, Python, and Apache Spark, DevOps & GIT
• Hands-on experience in designing, developing, and optimizing scalable large volume pipelines to support the processing of structured and semi-structured data
• Implement data processing solutions using technologies such as Scala, Python, and Apache Spark, and ensure scalability, reliability, and performance
• Build and maintain data models, schemas, and databases to support analytical and reporting needs, and use SQL for data manipulation and querying
• Demonstrate advanced proficiency in data processing and retrieval.
• Develop robust data platforms, contributing to the organization's data-driven growth
• Exposure with CICD pipelines for the Azure resources
• Implement DevOps practices to ensure the efficient deployment, monitoring, and maintenance of data pipelines
• Knowledge and experience in a data warehouse environment with knowledge of data architecture patterns
Educational Qualifications: -
• Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory skills
• Data Engineering, Azure Data Factory, Azure Databricks\n
Education:
Bachelors Degree