Power BI + Data Engineer (Python, ETL, ADF) - 10+ yrs

Role: Power BI + Data Engineer

Exp: 10+ yrs

Interview: 1-2 Video Rounds + 1 In-Person

Location

This position does not require employees to work on-site on a regular basis. However, candidates must reside within a reasonable distance of a Client office. This requirement is necessary to accommodate in-person interview requests and, if hired, candidates must be able to visit Client office to collect their company laptop and complete government-issued ID verification.

Additionally, can be asked to come to office on as needed basis for validation throughout the assignment.

Note

Recent hands on experience in "Healthcare Domain" is Must. Interview will be domain specific.

Key Responsibilities

• Design, develop, and maintain enterprise Power BI dashboards and reporting solutions for state clients
• Build and optimize ETL pipelines using Azure Data Factory, SQL Server, Cozyroc, and PLSQL
• Leverage AI tools (Power BI Copilot, GitHub Copilot) to accelerate report generation, DAX development, and ETL automation
• Ensure data accuracy, quality validation, and performance optimization across reporting pipelines
• Provide L3-level troubleshooting and proactively resolve production issues impacting SLAs
• Collaborate with business and client stakeholders to translate requirements into scalable reporting solutions
• Maintain end-to-end ownership across reporting lifecycle (data ingestion transformation visualization validation)
• Support automation initiatives to reduce manual effort and improve reliability of reporting operations
• Drive best practices in data architecture, governance, and reporting standardization

Technical Skills (Required)

• Power BI, Tableau, Python, SQL Server, Azure, ADF, Cozyroc, PLSQL, ETL/ELT, Data Modeling, Performance Optimization, GitHub Copilot, Power BI Copilot, Enterprise Reporting Architecture
• Senior Developer / Architect with strong hands on technical expertise
• Proven experience in end to end reporting and data engineering solutions
• Experience in AI enabled analytics and automation frameworks preferred
• Highly self driven; proactively identifies and resolves complex problems under constraints
• Strong communication skills with ability to provide clear daily updates and engage directly with clients
• Ability to operate at both detailed and strategic levels ( 30K foot view ) and connect dependencies across parallel workstreams
• Strong analytical thinking and problem solving mindset with ownership mentality
• Capable of working independently in a high visibility, SLA driven environment