Microsoft Fabric Data Engineer

Newark - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Data Management and Storage:

Design and implement data storage systems using Azure services like Azure SQL Database Azure Data Lake Storage and Azure Synapse.
Ensure scalability performance and cost-effectiveness.

Data Integration and ETL (Extract Transform Load):

Develop and implement data integration processes using Azure Data Factory.
Extract data from various sources transform it and load it into data warehouses or data lakes.

Big Data and Analytics:

Utilize big data technologies such as Apache Spark.
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.
5 of experience in building data and analytics platform focused on Azure data and analytics solutions.
Expertise in Azure services such as Azure SQL Database Azure Data Factory Azure Synapse Analytics and Azure Data Lake Proficiency in:
Software development and scripting languages
ETL tools (e.g. SSIS Azure Data Factory Power BI Dataflow).
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.
Strong analytical and problem-solving skills with ability to conduct root cause analysis on system process or production problems and ability to provide viable solutions.
Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
3 years of programming experience in Python/Pyspark.
7 years of experience in Microsoft Azure.
Knowledge of Jira Confluence SAFe development methodology & DevOps.

Data Management and Storage: Design and implement data storage systems using Azure services like Azure SQL Database Azure Data Lake Storage and Azure Synapse.Ensure scalability performance and cost-effectiveness. Data Integration and ETL (Extract Transform Load): Develop and implement data integrati...

Data Management and Storage:

Design and implement data storage systems using Azure services like Azure SQL Database Azure Data Lake Storage and Azure Synapse.
Ensure scalability performance and cost-effectiveness.

Data Integration and ETL (Extract Transform Load):

Develop and implement data integration processes using Azure Data Factory.
Extract data from various sources transform it and load it into data warehouses or data lakes.

Big Data and Analytics:

Utilize big data technologies such as Apache Spark.
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.
5 of experience in building data and analytics platform focused on Azure data and analytics solutions.
Expertise in Azure services such as Azure SQL Database Azure Data Factory Azure Synapse Analytics and Azure Data Lake Proficiency in:
Software development and scripting languages
ETL tools (e.g. SSIS Azure Data Factory Power BI Dataflow).
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.
Strong analytical and problem-solving skills with ability to conduct root cause analysis on system process or production problems and ability to provide viable solutions.
Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
3 years of programming experience in Python/Pyspark.
7 years of experience in Microsoft Azure.
Knowledge of Jira Confluence SAFe development methodology & DevOps.