Data Engineer

Position: Power BI Developer & Analytics Engineer Location: On-site (5 days/week) Duration: 18 months Contract (Extendable) Equipment: laptop will be provided Key Responsibilities: • Design, develop, and maintain interactive Power BI dashboards and reports. • Build and optimize semantic models, DAX measures, Power Query (M), and Row-Level Security (RLS). • Develop scalable data models and reusable analytical solutions using SQL and Power BI. • Support data engineering initiatives including ETL/ELT pipelines, data validation, troubleshooting, and migrations. • Collaborate with business stakeholders to translate requirements into technical solutions. • Support reporting modernization efforts involving Microsoft Fabric and Amazon Redshift. • Perform production support, root cause analysis, and data quality validation. • Create technical documentation and participate in knowledge transfer activities. Required Skills: • 2–5 years of experience in Business Intelligence, Analytics Engineering, Data Analytics, or Data Engineering. • Strong hands-on experience with Power BI (DAX, Power Query, Data Modeling, Semantic Models, RLS). • Strong SQL skills for querying, validation, troubleshooting, and performance optimization. • Experience with enterprise data platforms such as Amazon Redshift, Microsoft Fabric, Azure SQL, Azure Data Factory, Synapse, Databricks, or similar technologies. • Understanding of ETL/ELT processes, analytics engineering, and data warehousing. • Experience supporting production reporting environments and resolving data quality issues. Preferred Skills: • Microsoft Fabric (Lakehouse, Warehouse, Semantic Models, Data Factory). • Python or Spark. • Experience with IoT, telemetry, or high-volume event data. • Data migration and reporting modernization experience. • Familiarity with AI and predictive analytics.