Sr. BI Developer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Senior Power BI Developer
Role Summary
We are seeking a highly skilled Senior Power BI Developer to design develop and optimize enterprise-grade BI dashboards and analytics solutions. The role requires strong expertise in Power BI development data modeling performance optimization and collaboration with business stakeholders to enable impactful data-driven insights.
Key Responsibilities
Power BI Development
Design and develop interactive visually compelling dashboards and reports
Build optimized data models using Power BI Desktop and Service
Develop complex DAX measures and calculations
Implement Row-Level Security (RLS) and data protection standards
Integrate multiple data sources including SQL Data Lake Azure Excel APIs cloud platforms
Data Modeling & Architecture
Design effective star/snowflake schemas semantic models
Optimize data refresh strategy and dataset performance
Work closely with Data Engineering teams for structured data pipelines
Performance Optimization
Optimize report performance (query tuning DAX optimization model refinement)
Troubleshoot dataset refresh gateway and performance issues
Platform & Governance
Publish reports and manage Power BI Service workspace administration
Implement governance versioning and lifecycle best practices
Ensure adherence to enterprise data governance compliance and security standards
Stakeholder Collaboration
Work with business users to translate requirements into BI solutions
Participate in requirement workshops and storyboarding sessions
Provide guidance and mentoring to junior developers
Required Skills & Experience
6 years of experience in BI / Analytics with at least 4 years in Power BI
Strong expertise in:
Power BI Desktop & Power BI Service
DAX Power Query (M) Data Modeling
SQL querying and database concepts
Experience working with:
Azure Data Platform / Data Lake / Synapse / Fabric (preferred)
Enterprise Data Warehouses or Data Lakes
Experience in Agile / Sprint-based delivery environments
Strong analytical and problem-solving skills
Nice to Have
Experience with Azure Fabric / Databricks / Synapse
Knowledge of ETL tools (ADF / SSIS / Informatica)
Experience in enterprise-scale BI implementations
Cloud certifications (Azure preferred)
Soft Skills
Excellent communication and stakeholder management
Business acumen and ability to understand user needs
Proactive ownership mindset
Ability to work independently and mentor others
Required Skills:
Requirements We are seeking a visionary AI Architect to lead the design development and implementation of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning data engineering cloud architecture and enterprise-grade solution design. You will collaborate with stakeholders to translate business challenges into scalable AI-driven systems. Key Responsibilities: Lead the design and architecture of AI/ML solutions across the organization. Collaborate with data scientists engineers product owners and business leaders to define AI use cases and deliverables. Define architecture standards and best practices for AI solution development and deployment. Ensure AI models are scalable robust and integrated with existing systems and data platforms. Oversee end-to-end MLOps processes including versioning monitoring and continuous integration/deployment (CI/CD). Evaluate and select AI tools frameworks and technologies aligned with enterprise needs. Stay current on AI/ML trends tools and regulations (including ethical AI practices). Provide technical leadership and mentorship to development teams. Prepare architecture documentation and presentations for stakeholders and leadership. Required Qualifications: Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field. Proven experience in architecting AI/ML solutions in cloud environments (AWS Azure or GCP). Deep understanding of machine learning algorithms NLP computer vision and deep learning frameworks (e.g. TensorFlow PyTorch Hugging Face). Strong proficiency in Python and relevant ML libraries. Solid experience with data engineering pipelines data lakes and APIs. Familiarity with MLOps platforms (e.g. MLflow Kubeflow SageMaker Azure ML). Strong knowledge of software architecture patterns and microservices. Excellent communication stakeholder management and documentation skills. Preferred Qualifications: AI/ML certification (e.g. Google Professional ML Engineer AWS Machine Learning Specialty). Experience working in regulated industries (healthcare finance etc.). Familiarity with Generative AI LLMs (like GPT) and Responsible AI principles. Experience in DevOps or Infrastructure as Code (e.g. Terraform Docker Kubernetes).
Required Education:
Any Professional Degree
Company Industry
IT Services and IT Consulting
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Microsoft SQL Server
- ssrs
- Tableau
- SSIS
- T Sql
- Data Modeling
- Data Warehouse
