Zenex Partners
Location
Pune | India
Job description
We have an Urgent Opening with one of our MNC client for Data Engineer - Azure.
Job Title - Azure Data Engineer
Location - Nagpure and Pune (On-Site)
Notice Period - Should not be more than 30days.
Azure Data Engineer
Must Have: SQL, Python, Azure SQL Database, Azure Data Factory, Data Modelling, ETL, Azure Blob Storage, Azure Synapse Analytics
Good to Have: Azure Databricks, Azure Stream Analytics, Azure Functions, API Integration, Knowledge on Cloud Platforms (AWS, Azure, GCP)
Knowledge, Skills and Experience:
• Proficiency in crafting and optimizing complex SQL queries for data transformation, aggregation, and analysis.
• Good programming skills in Python for data processing and manipulation, including libraries such as Pandas and NumPy.
• Experience with a range of Azure data services such as Azure SQL Database , Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage and file formats like JSON & Parquet.
• Ability to design and implement data models, applying both relational and dimensional modeling techniques, within an Azure environment.
• In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation using Azure Data Factory .
• Adeptness in using Azure Functions for serverless data processing, automation, and orchestrating workflows.
• Skill in creating clear and concise technical documentation, facilitating communication and knowledge sharing.
• Designing efficient and well-structured data schemas within Azure SQL Database.
• Utilizing Azure Databricks for scalable data processing, analytics, and machine learning.
• Leveraging Python programming for data processing and manipulation within an Azure environment. Skilled in API integration.
• Implementing data integration and orchestration workflows using Azure Data Factory.
• Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources.
• Collaborating effectively in a cross-functional team environment, translating technical concepts for nontechnical stakeholders.
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Crafting and optimizing complex SQL queries for data manipulation and analysis within Azure services.
• In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation.
• Adeptness in version control using GitHub for collaborative code management.
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