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Job Description & How to Apply Below
Azure Databricks Architect
Location:
Indore / Pune
Experience:
6–8 Years
Notice Period:
Immediate
Job Summary
We are looking for an experienced Azure Databricks Engineer to design, develop, optimize, and manage large-scale data platforms on Azure Cloud. The candidate will be responsible for building batch and real-time data pipelines, managing Databricks infrastructure, and collaborating with cross-functional teams to enable data-driven solutions.
Key Responsibilities
Administer, configure, and optimize Azure Databricks platform.
Deploy and manage applications on Azure Databricks.
Configure and manage Databricks Clusters and Unity Catalog .
Build and maintain large-scale batch and real-time data pipelines .
Integrate data from multiple sources ensuring data quality and accessibility standards.
Work closely with data engineers, data scientists, architects, and business stakeholders.
Integrate Azure services such as:
Azure Data Factory
Azure Functions
Azure Data Lake Storage
Azure Event Grid
Azure Service Bus
Required Technical Skills
Strong experience in Azure Cloud (5+ years mandatory)
Hands-on expertise in:
Azure Databricks
PySpark / Python
SQL (T-SQL, PL-SQL, Stored Procedures)
Azure Data Factory
Azure Data Lake
Azure Dev Ops (CI/CD)
Good to Have
Experience migrating legacy applications to Azure Cloud.
Exposure to Data Science model deployment on Databricks.
Experience in enterprise-grade data platform design.
Qualification
5+ years of Azure development experience.
Strong understanding of cloud architecture and big data systems.
Excellent communication and stakeholder management skills.
Ideal Candidate Profile
Strong in Python & Py Spark
Deep knowledge of Azure ecosystem
Experience handling large-scale distributed data environments
Ability to own projects end-to-end
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