Azure Synapse & Power BI Developer

Globenet Consulting Corp

Bellevue, WA, United States

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.wayup.com

Tech stack

Microsoft Access Microsoft Azure Business Intelligence Development Big Data Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Power BI Standard Sql Azure Data Lake SQL Databases

+6 more

Azure Data Factory Sql Optimization Microsoft Fabric Azure Synapse Analytics Data Pipelines Databricks

Job description

Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics Build and optimize ETL/ELT processes to support large datasets and analytics workloads Develop and enhance Power BI dashboards, reports, datasets, and semantic models Translate reporting and analytics needs into efficient technical solutions and visual outcomes Ensure data quality, reliability, and scalability across pipelines and reporting layers Tune SQL queries, Synapse workloads, and Power BI models for performance and usability Integrate data from cloud and on-premise sources into curated analytics layers Follow data governance, security, and access best practices within Azure ecosystems

Requirements

The AES Group INC is seeking an experienced Azure Synapse & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable data pipelines, transform and optimize data in Azure Synapse, and deliver meaningful insights through Power BI dashboards, reports, and semantic models. This role is ideal for someone who combines strong SQL and data modeling skills with a practical, performance-focused mindset., 4+ years in data engineering, BI development, or analytics engineering Strong hands-on experience with Azure Synapse Analytics Strong Power BI skills, including DAX, data modeling, and report development Advanced SQL with performance tuning and optimization experience Experience with Azure Data Factory or comparable orchestration/ETL tooling Proven experience working with large-scale data environments Strong problem-solving and communication skills U.S. citizenship or valid work authorization preferred Preferred Qualifications Experience with Azure Data Lake, Databricks, and/or Microsoft Fabric Solid understanding of data warehousing concepts and architectures Experience building semantic models and advanced DAX measures Exposure to real-time or streaming pipelines Experience working in Agile delivery environments Ready to make an impact? Apply now and join us on our journey!