Azure Data Architect

1 day ago

Hyderabad India People Prime Worldwide Full time

Job Description About Company: Our client is a global technology consulting and digital solutions company that enables enterprises to reimagine business models and accelerate innovation through digital technologies. Powered by more than 84,000 entrepreneurial professionals across more than 30 countries, it caters to over 700 clients with its extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes. Job Title: Azure Data Architect Location: PAN India Experience: 12+ Years Employment Type: Contract to Hire Work Mode: Hybrid Notice Period: Immediate Joiners Only Job Description: - Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2. - Good command over languages like Python , Scala , SQL - Strong knowledge of Azure services including ADLS , ADF, ADB ,SQL Server , Azure Synapse , Power BI , Azure Analysis Services - Experience in leading and managing technical teams and projects using agile methodology - Excellent communication, problem-solving, and analytical skills Primary Skills : - Design and implement end to end data solutions on Azure platform involving data ingestion , storage , processing , validation, and visualization - Develop data models, data ingestion workflows and data transformations using Metadata based ADF frameworks - Design and implement data storage solutions using ADLS , Synapse, ADB - Design visually appealing PBI dashboards and reports - Ensure Data Security , privacy and compliance by implementing appropriate security measures and data governance policies. - Hands on experience in Azure DevOps processes and CICD based deployments - Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions. - Collaborate with clients to understand their business requirements and translate them into technical requirements - Stay up to date with the latest trends and technologies in the field of data architecture and recommend improvements to existing data solutions

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