Title: Data Engineer
Location: Orlando, FL (Onsite)
Duration: 6 Months
- 8+ years of Data Engineering experience designing and supporting enterprise data platforms.
- Strong hands-on experience building ETL/ELT pipelines and data integration solutions.
- Experience with Microsoft Fabric including Data Factory, OneLake, Lakehouse, and Data Warehouse.
- Proficiency in SQL for complex data transformation, optimization, and performance tuning.
- Strong programming skills in Python, Scala, or similar languages for data processing.
- Experience with Azure Data Lake, cloud data platforms, and modern data ecosystems.
- Experience building scalable data warehouses, lakehouses, and analytics platforms.
- Strong understanding of relational, dimensional, and enterprise data modeling concepts.
- Hands-on experience with data orchestration tools such as Azure Data Factory or Fabric Data Factory.
- Experience integrating data from APIs, databases, flat files, and enterprise applications.
- Knowledge of big data technologies and distributed data processing frameworks.
- Experience supporting Power BI reporting, self-service analytics, and business intelligence initiatives.
Preferred Skills:
- Strong experience with Microsoft Azure and Microsoft Fabric ecosystem.
- Experience with Azure Synapse, Snowflake, BigQuery, or similar cloud data warehouses.