Azure Data Engineer
1 month ago
Job Description :
- Design, build, and implement cloud infrastructure and services using Azure.
- Implement and optimize CI/CD pipelines using tools like GitHub, Jenkins, Azure DevOps etc.
- Experience with exposing data to end-users via Power BI, Azure API Apps.
- Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics
- Designing and implementing data storage solutions on Azure
- Building and maintaining data pipelines for data integration and processing
- Developing and maintaining data models and schemas
- Experience in turning business use cases and requirements into technical solutions.
- Experience in business processing mapping of data and analytics solutions
- Experience in managing teams, being a technical coach.
- Experience with agile delivery methodologies, proof of concepts and prototyping
- Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
- Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.
- Developing data models and maintaining data architecture to support data analytics and business intelligence reporting.
- Ensuring data quality and consistency through data cleaning, transformation, and integration
processes.
- Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
- Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
- Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
- Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
- Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.
- Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
- Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
- Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging.
(ref:hirist.tech)-
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