Data Engineer for Business Intelligence Solutions
3 days ago
**Job Title:** Data Engineer for Business Intelligence Solutions
**Location:** USA (Remote or On-site)
**Job Type:** Full-time
**Salary:** $120,000 - $180,000 per year
We are seeking an experienced Data Engineer to join our team at Intellify. As a key member of our Business Intelligence team, you will design, implement, and document data architecture and data modeling solutions using relational and dimensional databases.
**About the Role:
You will be responsible for creating interactive and visually appealing dashboards and reports using Power BI, with a focus on user experience and data storytelling. Additionally, you will identify and implement optimizations to enhance the performance and efficiency of Power BI reports and dashboards.
The ideal candidate will have a strong background in data engineering, with experience in designing and implementing database structures, data warehousing, and business intelligence solutions. You should also be proficient in data modeling tools and have a good knowledge of Power BI, Azure Databricks, Microsoft Fabric, and related tools.
Required Skills and Qualifications:
- Minimum 2-4 years of experience in designing, implementing, and supporting Data Warehousing and Business Intelligence solutions on Microsoft Fabric data pipelines.
- Experience in creating interactive and visually appealing dashboards and reports using Power BI.
- Hands-on experience in design, development, and implementation of Microsoft Fabric, Azure Data Analytics Service (Azure Data Factory - ADF, Data Lake, Azure Synapse, Azure SQL DWH, and Databricks).
- Experience in writing optimized SQL queries on MS Azure Synapse Analytics (dedicated, serverless resources in queries, etc.).
- Understanding data engineering best practices like code modularity, documentation, and version control.
Benefits:
- Competitive salary range: $120,000 - $180,000 per year.
- Ongoing training and professional development opportunities.
- A dynamic and collaborative work environment.
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