Data Engineer- BI

1. Strong experience in Power BI and Analytics Engineering:
a. Power BI Report & Dashboard Development
b. Advanced DAX (Measures, Calculation Groups, Time
Intelligence)
c. Power Query (M Language) and Data Transformation
d. Semantic Model / Dataset Development
e. Star Schema and Dimensional Data Modelling
f. Advanced SQL skills
g. Strong proficiency in Power BI Service Administration and
Deployment Pipelines
h. Experience with Microsoft Fabric (Lakehouse, Warehouse,
Direct Lake)
i. Experience integrating Power BI with Snowflake, Databricks,
AWS, Azure, and SAP data sources
j. Expertise in report performance tuning using DAX Studio,
Performance Analyzer, and VertiPaq optimization
k. Experience implementing Row-Level Security (RLS) and data
governance best practices
l. Working knowledge of SAP Sales, Order Management,
Customer, Product, and Supply Chain datasets
m. Strong proficiency in Python for data analysis, automation,
API integrations, and AI/ML use cases
n. Experience developing analytics solutions using Fabric
Notebooks, PySpark, and Python-based data processing
frameworks
o. Experience building executive KPI dashboards and enterprise
scorecards
p. Knowledge of Microsoft Copilot, GenAI, LLMs, and AI-
powered analytics automation
q. Familiarity with data products, semantic layer design, and
enterprise reporting architectures