Job Title: Power BI Developer & Analytics Engineer
Job Location: Atlanta, GA/ Onsite
Project Duration: 18 months with possible extension
W2 Position- Local CANDIDATES ONLY (Not considering Non-Local)
Must have Skills- The main requirements should be around Power BI, DAX, and reporting.
NOTE- candidates MUST have Microsoft FABRIC and 8 plus years of total experience minimum. Must be a power BI developer not a data engineer.
Job Summary
We are seeking a versatile Power BI Developer & Data Engineer with strong hands‑on expertise in building end‑to‑end analytical solutions from creating data pipelines using SQL and Azure Synapse to developing interactive dashboards and semantic models. While 2 to 5 years of experience is ideal, we are open to senior candidates who possess the required technical depth. A degree is not required.
Key Responsibilities
- Build and maintain robust data pipelines using SQL, Azure Synapse, and Spark.
- Design, develop, and optimize interactive Power BI dashboards, reports, and semantic models.
- Implement data modeling, DAX measures, calculations, and row‑level security (RLS).
- Leverage Python for data processing, automation, or supporting analytical workflows.
- Partner with business stakeholders to gather requirements, translate needs into technical solutions, and deliver actionable insights.
- Troubleshoot data quality issues, refresh failures, pipeline bottlenecks, and reporting discrepancies.
- Maintain technical documentation and support knowledge transfer across analytics platforms.
- Power BI & Modeling: Strong expertise in dashboard development, semantic models, DAX, Power Query, data modeling, and RLS.
- Data Engineering & Pipelines: Hands‑on experience building pipelines using SQL and Azure Synapse.
- Big Data & Processing: Experience working with Spark and writing scripts in Python.
- General Requirements: 2–5+ years of relevant experience (senior candidates welcome); degree is not mandatory.
Preferred Qualifications
- Familiarity with Artificial Intelligence (AI) and predictive analytics use cases.
- Experience with modern cloud data platforms (e.g., Microsoft Fabric, Redshift, Azure SQL, ADF).