Associate Data Architect II

10 - 14 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an Azure PySpark Solution Architect, your role involves designing and implementing scalable data solutions on Microsoft Azure. Your expertise in Azure services, PySpark, and enterprise-grade solution architecture will be crucial in driving efficient data processing and analytics workflows. 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 aligned with business goals. - Collaborate with data engineers, data scientists, and stakeholders to define technical requirements and solution roadmaps. - Optimize big data processing while ensuring adherence to data governance, security, and compliance standards. - Provide technical leadership and establish best practices for Azure and PySpark-based data solutions. - Conduct performance tuning and troubleshoot PySpark workloads. - Ensure seamless integration with third-party tools, APIs, and enterprise systems. Mandatory Skills & Qualifications: - Expertise in Azure Cloud Services: Azure Databricks, Data Factory, Synapse Analytics, Azure Storage, ADLS. - Strong hands-on experience with PySpark for data processing and transformation. - Deep understanding of solution architecture, including microservices, event-driven, and cloud-native patterns. - Proficient in SQL, NoSQL databases, and data modeling within Azure ecosystems. - Knowledge of CI/CD pipelines, DevOps practices, and Infrastructure-as-Code tools like Terraform, ARM templates, or Bicep. - Strong analytical and problem-solving skills for optimizing large-scale data workloads. - Excellent communication and stakeholder management capabilities. Preferred Skills: - Experience with streaming technologies such as Kafka, Event Hubs, or Spark Streaming.,

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