Azure Data Engineer

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Microsoft Fabric Data Engineer
W2 rate: 57/hr

Location: Newark, NJ - hybrid onsite (LOCAL CANDIDATES ONLY!)





Please DO NOT share any profiles without Fabric experience or DP-600 Fabric Certification or DP-203 Azure Data Engineer Certification. Only NJ based profiles.



Key words to search in resume: Microsoft Fabric, Azure Data Factory, Azure Data Engineer



8+ Years

· 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.



· Bachelor's 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:

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.

· 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.

· Knowledge of Jira, Confluence, SAFe development methodology & DevOps