Experience
5 - 9 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Azure Data Engineer
Job Type
Not specified
Job Description
Gipfel & Schnell Consultings Pvt Ltd is looking for Sr. Azure Data Engineering Cloud to join our dynamic team and embark on a rewarding career journey Data Architecture Design:Design and implement scalable, high-performance data architectures on the Azure platform
Work with stakeholders to understand data requirements and translate them into effective data solutions
Data Integration:Develop and implement data integration solutions, including ETL (Extract, Transform, Load) processes
Utilize Azure Data Factory, Azure Data Pipeline, or similar tools for efficient data movement
Data Modeling:Design and implement data models to support analytical and reporting requirements
Ensure data models align with best practices and are optimized for performance
Data Warehousing:Build and maintain data warehouses on Azure, such as Azure Synapse Analytics or Azure SQL Data Warehouse
Implement data partitioning, indexing, and optimization techniques
Data Processing and Transformation:Implement data processing solutions using Azure technologies like Azure Databricks, HDInsight, or Spark
Perform data transformations and aggregations to support business intelligence and analytics
Data Security and Compliance:Implement security measures to protect sensitive data
Ensure compliance with data governance and privacy regulations
Monitoring and Optimization:Monitor data pipelines for performance and reliability
Optimize data storage, processing, and retrieval for cost-effectiveness
Collaboration:Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders
Work closely with database administrators and infrastructure teams to ensure smooth data operations
Work with stakeholders to understand data requirements and translate them into effective data solutions
Data Integration:Develop and implement data integration solutions, including ETL (Extract, Transform, Load) processes
Utilize Azure Data Factory, Azure Data Pipeline, or similar tools for efficient data movement
Data Modeling:Design and implement data models to support analytical and reporting requirements
Ensure data models align with best practices and are optimized for performance
Data Warehousing:Build and maintain data warehouses on Azure, such as Azure Synapse Analytics or Azure SQL Data Warehouse
Implement data partitioning, indexing, and optimization techniques
Data Processing and Transformation:Implement data processing solutions using Azure technologies like Azure Databricks, HDInsight, or Spark
Perform data transformations and aggregations to support business intelligence and analytics
Data Security and Compliance:Implement security measures to protect sensitive data
Ensure compliance with data governance and privacy regulations
Monitoring and Optimization:Monitor data pipelines for performance and reliability
Optimize data storage, processing, and retrieval for cost-effectiveness
Collaboration:Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders
Work closely with database administrators and infrastructure teams to ensure smooth data operations
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