Posted:2 days ago|
Platform:
On-site
Full Time
Azure Cloud Data Engineer with Python Programming – Senior Consultant/Manager (6+ Years)
· Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
· Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
· Build and optimize ETL workflows and ensure seamless data integration across platforms.
· Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
· Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
· Troubleshoot performance bottlenecks in data flows and ETL processes.
· Integrate advanced analytics and support BI use cases within the Azure ecosystem.
· Lead code reviews and ensure adherence to version control practices (e.g., Git).
· Contribute to the design and deployment of enterprise-level data warehousing solutions.
· Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
· Azure Data Factory
· Azure Blob Storage / Azure Data Lake Storage
· Apache Spark (hands-on experience)
· Data warehousing and BI tools integration
· Git (Version Control)
· Building scalable ETL pipelines
· Understanding of OLTP and OLAP environments
· Experience with Kafka and Hadoop
· Azure Synapse Analytics
· Azure DevOps for CI/CD integration
· Agile delivery methodologies
· 6+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
· Proven track record of strong Python development with at least 2-3 years of hands-on experience.
BE/B.Tech/MBA/MCA
LanceSoft, Inc.
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