Sr Software Engineer

Role Overview

Lead the full development lifecycle of interactive, predictive dashboards and business applications using Power Bi. Build and manage robust data models and data pipelines. Develop and deploy Power Apps and Power Automate and integrate them with Power BI reports and business workflows.

What You Will Do

Develop and optimize dashboards and analytical reports. Utilize advanced platform features for KPIs, bookmarks, workspace management, security, and administration. Data transformation and calculations using modern query languages and analytical expressions.

Why It Might Be a Fit

Strong hands-on experience in developing and optimizing dashboards and analytical reports. Experience working with Azure Data Services, Azure Machine Learning, or Power Platform AI Builder. Excellent written and verbal communication skills.

Requirements

• 5–6 years of experience in report development, data modeling, and analytics.
• 5–6 years of experience in business intelligence and data visualization.
• 2–3 years of experience in ETL and OLAP development (e.g., SSIS, SSAS, or similar platforms).
• Strong hands-on experience in developing and optimizing dashboards and analytical reports.
• Utilizing advanced platform features for KPIs, bookmarks, workspace management, security, and administration.
• Data transformation and calculations using modern query languages and analytical expressions.
• Predictive modeling and advanced analytics with Python or R.
• Experience working with Azure Data Services, Azure Machine Learning, or Power Platform AI Builder.
• Strong hands-on experience in developing and optimizing Power BI dashboards and reports.
• Power BI Pro features (KPIs, bookmarks, workspace management, RLS, Gateway administration etc.).
• Strong knowledge of data modeling, data mart creation, and semantic modeling.
• Proven ability to deliver forecasting, trend analysis, and anomaly detection via Power BI and Python/R.
• Experience working in Agile/Scrum environments.
• Proficiency with Excel (Power Query, Power Pivot, external connections, pivot tables, etc.).
• Integration of external data via REST APIs.
• Experience with Power BI Embedded or embedding Power Apps in external portals.
• Hand on experience with Power BI Custom visuals, advanced interactivity, AI-integrated dashboards, and mobile-ready reports.
• Experience with Power Apps: App development, Dataverse integration, automation via Power Automate.
• Python / R: Predictive analytics, machine learning integration.
• SQL (T-SQL, PL/SQL): Complex query design for data retrieval and manipulation.
• Power Query (M) and DAX: Advanced transformations and business logic.
• SSIS & SSAS: ETL workflows and tabular modeling.
• Security: Row-Level Security (RLS), workspace governance, data access control.
• Excellent written and verbal communication skills.
• Knowledge of People/HR-related reporting and metrics (headcount, attrition, recruitment, performance, etc.) is preferred but not required.