Power BI / SQL / Python Developer

We are seeking a highly skilled Power BI / SQL / Python Developer to support data analytics, reporting, and automation initiatives. This role requires close collaboration with cross-functional teams and alignment with Pacific Standard Time (PST) working hours.

The ideal candidate possesses strong expertise in Power BI, solid programming and data fundamentals, and hands-on experience with ETL pipelines and cloud-based data workflows. A proactive mindset toward automation and strong communication skills are essential for success in this role.

• →Design, develop, and maintain Power BI dashboards and reports
• →Build and support ETL processes for data ingestion, transformation, and preparation
• →Write and maintain Python scripts for data processing and automation
• →Develop, optimize, and manage SQL queries for analytics and reporting
• →Work with cloud-based data services and data staging workflows
• →Identify opportunities for process automation and operational efficiency improvements
• →Collaborate with stakeholders to gather requirements and present insights effectively
• →Support analytics and automation (including agentic workflows) initiatives

• Strong experience with Power BI (data modeling, DAX, and visualization design)
• Solid programming and data fundamentals, including:
  • Proficiency in at least one programming language (preferably Python)
  • Understanding of object-oriented programming concepts
• Hands-on experience with ETL processes and tools, including:
  • Python scripting
  • SQL
  • AWS Athena
  • AWS Glue
  • Amazon S3 for data staging
• Experience working with both structured and semi-structured data
• Ability to work independently in a remote/offshore environment
• Excellent communication and presentation skills

• Must be available to work PST hours
• Strong attention to detail and problem-solving abilities
• Comfortable collaborating with US-based teams

• Experience with Power Automate
• Exposure to or strong interest in automation and agentic workflows
• Experience supporting enterprise-scale analytics programs (e.g., utilities or regulated industries)