Job Description:
Role Overview
We are looking for a Senior Power BI Developer / Analytics Engineer with deep expertise in semantic modeling, DAX, and Power Query, along with strong hands-on experience in Snowflake and Python.
This role requires a highly analytical professional capable of designing scalable data models, building enterprise-grade dashboards, and enabling self-service analytics across business functions.
Key Responsibilities
1. Power BI Development & Visualization
Design and develop advanced dashboards using Microsoft Power BI
Build complex DAX measures, calculated columns, and KPIs
Optimize report performance and ensure usability at scale
Implement Row-Level Security (RLS) and data access controls
2. Semantic & Data Modeling (Core Focus)
Design robust semantic models (tabular models) for enterprise reporting
Develop and maintain star and snowflake schemas
Ensure optimized relationships, hierarchies, and aggregations
Work closely with business teams to define metrics and data definitions
3. Power Query (M) & Data Transformation
Develop advanced data transformation logic using Power Query (M language)
Build reusable dataflows and transformation pipelines
Handle data ingestion, cleansing, and shaping for reporting
4. Snowflake Integration
Work extensively with Snowflake for data sourcing and modeling
Write optimized SQL queries for large datasets
Design and manage data marts and reporting layers
Collaborate with data engineering teams on ELT pipelines
5. Python for Data Processing & Automation
Use Python for:
Data transformation and preprocessing
Automation of reporting workflows
Advanced analytics and scripting
Integrate Python outputs into Power BI where applicable
6. Stakeholder & Delivery Management
Gather and translate business requirements into technical solutions
Work with cross-functional teams (Data Engineering, Business, IT)
Provide insights and recommendations to leadership stakeholders
Required Skills & Qualifications
Technical Expertise
9–12 years of overall experience in Data & Analytics
6+ years hands-on experience in Microsoft Power BI
Strong expertise in:
DAX (advanced level)
Power Query (M language)
Semantic/Data Modeling (Tabular models, Star schema)
3+ years experience with Snowflake
Proficiency in Python for data handling and automation
Strong SQL skills (CTEs, window functions, query optimization)
Data & Architecture Knowledge
Strong understanding of:
Data Warehousing concepts
ETL / ELT frameworks
OLAP systems and dimensional Modeling
Experience in building scalable and reusable data models
Soft Skills
Strong problem-solving and analytical thinking
Excellent communication and stakeholder engagement
Ability to lead discussions and mentor junior developers
Experience working in Agile/Scrum environments
Key Deliverables
Enterprise-grade Power BI dashboards and semantic models
High-performance DAX measures and optimized queries
Scalable Snowflake-based data models and reporting layers
Automated workflows using Python
Preferred Certifications
Microsoft PL-300 (Power BI)
Azure Data certifications (DP-203 or equivalent)
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