What are the responsibilities and job description for the Azure Synapse, PySpark & Power BI Developer position at The AES Group?
Job Description
Job Title: Azure Synapse, PySpark & Power BI Developer
Location: Remote - USA (PST Preferred)
Let’s create our future together at The AES Group!
About The AES Group
The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.
Why Join us?
The AES Group INC is seeking an experienced Azure Synapse, PySpark & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable pipelines, transform and optimize data within Azure Synapse, develop data processing workflows using PySpark, and deliver actionable insights through Power BI dashboards, reports, and semantic models. This role suits a hands-on engineer who balances performance, governance, and business outcomes.
Key Responsibilities
Job Title: Azure Synapse, PySpark & Power BI Developer
Location: Remote - USA (PST Preferred)
Let’s create our future together at The AES Group!
About The AES Group
The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.
Why Join us?
- Long-term opportunity on modern Azure data platforms
- Remote role with collaboration across data engineering and analytics teams
- High-impact work building pipelines and executive-ready dashboards
The AES Group INC is seeking an experienced Azure Synapse, PySpark & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable pipelines, transform and optimize data within Azure Synapse, develop data processing workflows using PySpark, and deliver actionable insights through Power BI dashboards, reports, and semantic models. This role suits a hands-on engineer who balances performance, governance, and business outcomes.
Key Responsibilities
- 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 PySpark-based data transformations and processing jobs (batch; streaming exposure is a plus)
- Create and maintain reusable PySpark utilities for data quality checks, validation, and standardization
- 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
- 4 years in data engineering, BI development, or analytics engineering
- Strong hands-on experience with Azure Synapse Analytics
- Hands-on experience with PySpark for data processing and transformation
- 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
- 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