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Azure Synapse Developer & Lead

2 - 9 years

8 - 12 Lacs

Hyderabad

Posted:1 week ago| Platform: Naukri logo

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Skills Required

continuous integration kubernetes web services ci/cd sql microservices docker ansible spring unix shell scripting git devops leadership jenkins etl c# cd python oracle microsoft azure sql server javascript spring boot agile aws unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Solution Design and Development: Design and implement data solutions using Azure Synapse Analytics. Develop and optimize data pipelines, data models, and ETL processes. Ensure data integrity, accuracy, and consistency across all data solutions. Implement Change Data Capture (CDC) mechanisms to keep data synchronized across systems. Data Integration: Integrate data from various sources, including on-premises databases, cloud services, and external data sources. Utilize Azure Data Factory for data movement and transformation. Leverage Azure Data Lake Storage (ADLS) for scalable data storage solutions. Performance Optimization: Monitor and optimize the performance of data solutions. Implement best practices for data storage, retrieval, and processing. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Provide technical guidance and support to team members and stakeholders. Communicate effectively with clients to understand their needs and provide updates on project progress. CI/CD Pipeline Configuration: Configure and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate the deployment of data solutions. Ensure seamless integration and deployment of changes to production environments. Agile Process: Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. Collaborate with cross-functional teams to deliver high-quality data solutions on time. Documentation and Reporting: Maintain comprehensive documentation of data solutions, processes, and workflows. Generate reports and dashboards to provide insights into data usage and performance.

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