Microsoft Fabric Data Engineer

Azure Data Engineer
Microsoft Fabric
data storage systems design
data integration processes
big data technologies

Data Management and Storage
Data Integration and ETL
Big Data and Analytics
Data engineering processes documentation
Experience with cloud-based data migration

REQUIREMENTCITY -
Role Name - Microsoft Fabric Data Engineer
EXPERIENCERANGEINREQUIREDSKILLS Technical/Functional Skills Azure Data Engineer Microsoft Fabric
ROLEDESCRIPTION -
Job Title Microsoft Fabric Data Engineer
ROLE as per TCS Role Master Microsoft Fabric Data Engineer
No OPT please. We need experienced resources.
Must Have Technical/Functional Skills Azure Data Engineer Microsoft Fabric
Roles & Responsibilities
Data Management and Storage:
o Design and implement data storage systems using Azure services like Azure SQL Database Azure Data Lake Storage and Azure Synapse.
o Ensure scalability performance and cost-effectiveness.
Data Integration and ETL (Extract Transform Load):
o Develop and implement data integration processes using Azure Data Factory.
o Extract data from various sources transform it and load it into data warehouses or data lakes.
Big Data and Analytics:
o Utilize big data technologies such as Apache Spark.
o Create data processing workflows and pipelines to support data analytics and machine learning applications.
Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
Monitor and optimize data pipelines and database performance to ensure data processing efficiency.
Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.
Document data engineering processes data models and pipelines to ensure transparency and maintainability.
Bachelors degree Computer Science or a related field.
Expertise in Azure services such as Azure SQL Database Azure Data Factory Azure Synapse Analytics and Azure
Data Lake Proficiency in:
o Software development and scripting languages
o ETL tools (e.g. SSIS Azure Data Factory Power BI Dataflow).
o Database management (MSSQL Azure SQL Database Azure Data Lake Storage and Azure Synapse).
Knowledge of data modeling and data warehousing concepts.
Excellent problem-solving and troubleshooting abilities.
Attention to detail and commitment to data accuracy.
Experience with cloud-based data migration.
Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
Knowledge of Jira Confluence SAFe development methodology & DevOps