SQL/Power BI Developer

Experience with Database Management Systems (DBMS) such as Microsoft SQL Server, Oracle, MySQL, or PostgreSQL –  including proficiency in writing SQL queries and stored procedures.
Must possess at least 3 to 5 years of experience working with any BI tools and BI systems, with familiarity in data science, business intelligence, and data analytics.
Should have knowledge and experience on the PowerBI Security and the approaches to be used when exposing dashboards to public.
Strong understanding of database design principles, data modeling, and normalization.
Knowledge of ETL processes and Business Intelligence (BI) tools.
Familiarity with programming languages like Python, Java, or C# for application integration is a plus.
Should have experience in data integration, connecting to and importing data from various sources including data lakes, cloud platforms, and Excel files.
Excellent communication skills are necessary to work with stakeholders, collect requirements, and effectively present results.
Knowledge of implementing and maintaining data security and governance policies within Power BI is essential.
Experience working with On-premises Data Gateway architectures managing large volumes of data from AWS Data Lake or other cloud environments is required.
Should have experience with ODBC connectors
Ability to transform complex data into a range of visuals such as graphs, charts, and maps

 Job responsibilities include (but not limited to):

– Work with business stakeholders to understand their requirements and gather needs for the reporting solution.
– Analyze and define business requirements related to business intelligence.
– Design and create data models to query raw or processed data from the AWS data lake for insightful analysis.
– Develop multiple Power BI reports based on business needs and specifications.
– Implement processes to maintain data accuracy, consistency, security, and regulatory compliance.
– Use Power BI to build interactive and visually appealing dashboards and reports.
– Determine key performance indicators that align with relevant objectives.
– Examine historical and current data to aid better decision-making.
– Monitor and improve Power BI reports and dashboards for better performance, scalability, and user experience.
– Write and execute DAX queries and functions within Power BI.
– Participate in standup meetings and share daily progress updates.
– Create all required technical documentation.
– Demonstrate dashboards and reports during technical presentations.