Azure data engineer
3 weeks ago
Experience Required: 3-15 Years
Location: Kolkata
Job Type: Full-time
Must Have: Azure DATA Factory; Azure SQL; Azure Databricks; Azure Cosmos DB; PySpark; Python; Snowflake
Key Responsibilities:
Design, implement, and manage cloud-based OLTP databases using Azure SQL and Azure Cosmos DB .
Develop, optimize, and automate data pipelines using Azure Data Factory and Azure Databricks .
Work with PySpark and Python to create and maintain scalable ETL processes and data transformation workflows.
Manage and maintain large-scale data environments in Snowflake and other Azure data services.
Optimize performance of OLTP databases to support business-critical applications.
Implement data security, compliance, and disaster recovery strategies for Azure-based databases.
Collaborate with cross-functional teams to integrate Azure database solutions into broader application architecture.
Monitor, troubleshoot, and resolve performance issues related to database systems and cloud infrastructure.
Assist with data migration from legacy systems to Azure-based environments.
Ensure the efficient storage, retrieval, and analysis of structured and unstructured data within Azure services.
Required Skills and Experience:
3-15 years of experience in cloud database engineering with a focus on Azure .
Proven experience working with Azure SQL , Azure Cosmos DB , and Azure Data Factory .
Hands-on experience with Azure Databricks , PySpark , and Python for building and managing data pipelines.
Solid understanding of Snowflake and its integration with Azure services.
Expertise in OLTP database systems, performance tuning, query optimization, and high availability configurations.
Familiarity with data governance , security best practices, and disaster recovery strategies in Azure environments.
Experience with data migration to Azure cloud platforms from on-premise or other cloud environments.
Excellent problem-solving skills, with the ability to troubleshoot and resolve complex database issues.
Strong communication skills, with the ability to work effectively in a collaborative team environment.
Preferred Qualifications:
Azure certifications such as Azure Database Administrator Associate or Azure Data Engineer Associate .
Experience with CI/CD pipelines and DevOps practices for database deployments.
Knowledge of Data Lake architectures and big data solutions in Azure.
Familiarity with monitoring and performance management tools such as Azure Monitor or Datadog .
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