- Employment type: Full Time
- Experience: 5+ years
- Salary: 5.3L to 6L Yearly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM IST
- Working Days: 5 Days
- Education: Any Degree
Key Responsibilities:
– Building Enterprise Power BI reporting solutions to meet the organization’s data visualization needs.
– Defining and designing data visualization models and solutions within the Microsoft Azure ecosystem using tools like Power BI, Azure Synapse Analytics, MSFT Fabric, and Azure Machine Learning.
– Developing strategies for analytics, reporting, and governance to ensure scalability, reliability, and security.
– Evaluating emerging Power BI technologies and analytical capabilities to enhance existing solutions.
– Providing guidance on cost optimization, performance tuning, and best practices in Power BI & Analytics solutions.
– Collaborating with business stakeholders, product managers, and data scientists to understand business objectives and translate them into technical solutions.
– Working with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of analytical solutions.
Qualifications Required:
– Proficiency in Power BI and related technologies such as MSFT Fabric, Azure SQL Database, Azure Synapse, Databricks, and other visualization tools.
– Hands-on experience with Power BI, machine learning, and AI services in Azure.
– Excellent data visualization skills and experience.
– Expertise in DAX.
In terms of technical expertise, you should possess:
Professional Experience:
– 5+ years of experience in Power BI Development, with a proven track record of designing high-quality models and dashboards using Power BI to transform raw data into meaningful insights.
– Extensive experience using Power BI Desktop, DAX, Tabular Editor, and related tools.
– Proficiency in Power BI Premium capacity administration and SQL development.
– Comprehensive understanding of data modeling, administration, and visualization.
– Relevant certifications in Power BI, machine learning, AI, or enterprise architecture.
Key Competencies:
– Expertise in data visualization tools like Power BI or Tableau.
– Ability to create semantic models for reporting purposes.
– Familiarity with Microsoft Fabric technologies including One Lake, Lakehouse, and Data Factory.
– Strong understanding of data governance, compliance, and security frameworks.
– Proven ability to drive innovation in data strategy and cloud solutions.
– Deep understanding of business intelligence workflows and the ability to align technical solutions.
– Strong database design skills, encompassing both normalized form and dimensional form databases.
– In-depth knowledge and experience of data warehousing strategies and techniques such as Kimball Data warehousing.
– Experience in cloud-based data integration tools like Azure Data Factory.
– Familiarity with agile development techniques and objectives.
