Position Requirements:
- Experience: 8+ years in data engineering, including 5+ years with Azure data and analytics solutions.
- Key Skills & Keywords to Search: Microsoft Fabric, Azure Data Factory, Azure Data Engineer.
Core Responsibilities:
- Design and implement scalable, cost-effective data storage solutions with Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
- Develop and manage ETL processes using Azure Data Factory; extract, transform, and load data into data lakes and warehouses.
- Work with big data tools (e.g., Apache Spark) to build data workflows, analytics, and ML pipelines.
- Build and maintain applications to support large-scale architectural migrations in Agile environments.
- Monitor and optimize data pipelines, ensuring high performance and efficiency.
- Create interfaces to support new applications, data sources, and data types.
- Document data models, pipelines, and engineering processes for transparency and maintainability.
Required Technical Expertise:
- Strong proficiency in Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake.
- Hands-on experience with ETL tools (SSIS, ADF, Power BI Dataflow).
- Database management with MSSQL and Azure data services.
- Solid understanding of data modeling and data warehousing concepts.
- 3+ years programming experience in Python/PySpark.
- 7+ years working with Microsoft Azure.
- Familiarity with Jira, Confluence, SAFe methodology, and DevOps.
Qualifications:
- Bachelor’s degree in Computer Science or related field.
- Excellent problem-solving skills, troubleshooting ability, and attention to detail.
- Proven experience in cloud-based data migration and Agile delivery models.
Job Type: Full-time
Pay: $64.00 - $70.00 per hour
Work Location: In person
