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Azure Data Lead
2 months ago
Experience: 6+ years
Location: Hyderabad
Position: Permanent
The Azure Data Lead will be responsible for leading data initiatives on the Azure platform, ensuring the design, development, and implementation of robust data solutions. The ideal candidate will have a strong background in data engineering, data architecture, and cloud computing, with a specific focus on Azure technologies.
Job Responsibilities
• Deliver high-quality modern data solutions through collaboration with team members and customers.
• Manage projects ranging from short-term client assessments to multi-year delivery engagements with large, blended teams.
Requirements
• Experience : Hands-on experience as a Data Engineer or a similar role. • Azure Skills :
o Provisioning, configuring, and developing solutions in Azure Synapse Analytics, Azure Data Factory, and Azure Databricks.
o In-depth understanding of database structure principles and performance troubleshooting.
o Experience with Azure SQL Server, PostgreSQL , or similar RDBMS platforms. o Distributed data processing for big data batch or streaming pipelines. o Construction of data science and machine learning research and production pipelines.
o Familiarity with data visualization tools like Power BI.
• Data Modeling and Analytics :
o Strong analytics skills in data modeling.
o Experience in database migration from legacy systems to new solutions. o Design conceptual, logical, and physical data models using tools like ER Studio, Erwin.
• DevOps and CI/CD :
o Configure CI/CD pipelines for Azure Data Factory, Azure Databricks, Azure Synapse Analytics using Azure DevOps.
• Data Management :
o Understanding of data quality improvement and master data management. o Implement data security and governance.
• Soft Skills :
o Problem-solving attitude.
o Highly self-motivated, self-directed, and attentive to detail.
o Ability to effectively prioritize and execute tasks.
Additional Skills (Preferred but not mandatory)
• Azure Synapse Analytics
• Azure Data Factory
• Azure Data Lake
• Azure Analysis Services
• Databricks/Spark
• Python
• Power BI
• Microsoft Purview