Power BI Development:
Design, develop, and maintain complex Power BI dashboards, reports, and data visualizations that meet business needs.
Implement row-level security (RLS) and other access controls within Power BI to ensure data security.
Create reusable templates and standards for Power BI reporting to streamline development efforts.
Integrate Power BI with other tools and platforms, such as Excel, SharePoint, and third-party APIs.
Timely delivery of live database projects and Advanced power BI skills
SQL Development and Database Management:
Develop and optimize complex SQL queries, stored procedures, and functions to support reporting and data analysis.
Design and implement efficient database structures, including tables, views, and indexes,stored procedures,triggers.
Perform database performance tuning, troubleshooting, and maintenance to ensure optimal performance.
Ensure data integrity and consistency across all systems and processes.
To create and perform on SQL servers, handle large volumes of data.
ETL and Data Integration:
Design and implement robust ETL processes to extract, transform, and load data from various sources into the data warehouse.
Collaborate with data engineers to integrate multiple data sources into a unified reporting platform.
Ensure high data quality through validation, cleansing, and transformation processes.
Collaboration and Stakeholder Engagement:
Work closely with business stakeholders to understand reporting and analytics requirements.
Present insights and recommendations derived from dashboards and analytics to senior management.
Provide training and support to end-users to maximize the adoption of Power BI solutions.
Requirements:Technical Skills:
Advanced proficiency in Power BI, including DAX, Power Query, and data modeling.
Strong expertise in SQL programming and database design principles.
Experience with relational databases such as SQL Server, Oracle, or PostgreSQL.
Familiarity with ETL tools (e.g., SSIS, Informatica, or Azure Data Factory).
Knowledge of data warehousing concepts and dimensional modeling.
Experience with cloud-based platforms like Azure or AWS is a plus.
Experience with big data technologies
Preferred Qualifications:
Experience in Agile/Scrum methodologies for project management.
Familiarity with scripting languages such as Python or R for data manipulation.
Certifications in Power BI, SQL Server, or cloud technologies (e.g., Azure Data Engineer, Microsoft Certified: Power BI Data Analyst).
Pay: ₹233,775.84 - ₹1,329,208.91 per year
Work Location: In person
