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Azure PySpark Solution Architect

Azure PySpark Solution Architect

UST

5 - 9 years

0 Lacs

thiruvananthapuram kerala

Posted:1 week ago| Platform: Shine logo

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Skills Required

azure solution architecture sql data modeling devops communication stakeholder management kafka docker kubernetes jira confluence compliance regulations hipaa pyspark azure cloud services azure databricks data factory synapse azure storage adls nosql databases cicd pipelines infrastructureascode terraform arm templates bicep problemsolving streaming technologies event hubs spark streaming containerization technologies machine learning frameworks agilescrum methodologies data security frameworks gdpr

Work Mode

On-site

Job Type

Full Time

Job Description

As a highly skilled Azure PySpark Solution Architect, your role involves designing and implementing scalable data solutions on Microsoft Azure. Your expertise in Azure services, PySpark, and solution architecture will ensure efficient data processing and analytics workflows for enterprise applications. **Key Responsibilities:** - Design and implement end-to-end data solutions using Azure Data Services and PySpark - Develop high-performance ETL pipelines leveraging Azure Databricks, Azure Data Factory, and Synapse Analytics - Architect scalable, secure, and cost-efficient cloud solutions aligning with business objectives - Collaborate with data engineers, data scientists, and business stakeholders to define technical requirements and solution roadmaps - Optimize big data processing and ensure data governance, security, and compliance standards are met - Provide technical leadership and best practices for Azure and PySpark-based data solutions - Conduct performance tuning and troubleshooting for PySpark workloads - Ensure seamless integration with third-party tools, APIs, and enterprise systems **Qualifications Required:** - Expertise in Azure Cloud Services (Azure Databricks, Data Factory, Synapse, Azure Storage, ADLS) and hands-on experience with PySpark - Deep understanding of solution architecture, including microservices, event-driven architectures, and cloud-native patterns - Experience with SQL, NoSQL databases, and data modeling in Azure - Knowledge of CI/CD pipelines, DevOps, and Infrastructure-as-Code (Terraform, ARM templates, or Bicep) - Strong problem-solving skills and ability to optimize large-scale data workloads - Excellent communication and stakeholder management skills In addition to the primary skills, good-to-have skills include familiarity with streaming technologies such as Kafka, Event Hubs, and Spark Streaming, knowledge of containerization technologies (Docker, Kubernetes), experience with machine learning frameworks, integration with big data pipelines, familiarity with Agile/Scrum methodologies and related tools (JIRA, Confluence), and understanding of data security frameworks and compliance regulations (GDPR, HIPAA, etc.).,

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Azure PySpark Solution Architect