Overview
Skills
Job Details
Microsoft Fabric Data Engineer
Newark, NJ Hybrid
W2 role
Key words to search in resume: Microsoft Fabric, Azure Data Factory, Azure Data Engineer
Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark
Must have Fabric experience or DP-600 Fabric Certification or DP-203 Azure Data Engineer Certification
8+ Years of Experience:
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.
- 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:
- 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.