Power BI Developer

We are seeking an experienced Power BI Consultant to join a dynamic data analytics team on an

offshore WFH engagement. The ideal candidate will be a hands-on BI practitioner with deep

expertise in Power BI development, data modelling, and DAX, supported by strong engineering

fundamentals in Azure Data Factory, SQL, and Snowflake. This role demands someone who can

independently translate complex business requirements into actionable, visually compelling reports

and dashboards.

Key Responsibilities

Design, develop, and publish production-grade Power BI reports, dashboards, and

paginated reports aligned to business KPIs.

Write complex DAX measures, calculated columns, and time-intelligence functions to

support analytical requirements.

Build and optimise semantic/tabular data models using star/snowflake schemas with proper

relationships and hierarchies.

Develop and maintain data pipelines using Azure Data Factory (ADF) for ingestion,

transformation, and orchestration.

Query, transform, and load data from SQL databases and Snowflake data warehouses using

optimised SQL.

Collaborate with data engineers and architects to ensure data quality, lineage, and

governance standards are upheld.

Perform performance tuning of reports and datasets, including query folding, aggregations,

and incremental refresh.

Implement row-level security (RLS) and object-level security (OLS) to enforce data access

controls.

Participate in requirements gathering, solution design, and stakeholder review sessions

(overlapping time zone as required).

Maintain thorough documentation of data models, DAX logic, and pipeline configurations.

Skills & Competency Matrix

Legend: Essential | Advantage

Skill / Tool Level What to Look For

Power BI Development Essential Reports, dashboards, paginated reports, service

publishing, workspace management

DAX Essential Complex measures, time-intelligence, iterators

(CALCULATE, FILTER, SUMX, etc.)

Data Modeling Essential Star/snowflake schemas, relationships, roleplaying

dimensions, calculated tables

Azure Data Factory (ADF) Essential Pipelines, linked services, triggers, data flows,

activity chaining

SQL Essential Complex queries, CTEs, window functions, stored

procedures, query optimisation

Snowflake Essential Querying, warehouses, data sharing concepts,

connector usage from Power BI/ADF

Microsoft Certifications Essential PL-300 (Power BI Analyst) preferred; DP-900/DP-

203 a bonus

Data Governance Advantage Data cataloguing, lineage, metadata management,

policy enforcement

Data Quality Assurance Advantage Profiling, validation rules, anomaly detection,

reconciliation

Data Integration Advantage ETL/ELT design, API connectors, event-driven

ingestion patterns

Qualifications & Certifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related

field.

Minimum 5 years of hands-on experience in Power BI development and data analytics.

Demonstrated project delivery using Azure Data Factory and cloud data platforms.

Microsoft PL-300 (Power BI Data Analyst Associate) certification strongly preferred.

Additional Microsoft certifications (DP-203, AZ-900, AZ-104) considered favourably.

Experience in Banking, Financial Services, or Government sector is an advantage.