Job Description

ROLE_DESCRIPTION
Power BI & Business Intelligence

• Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models.

• Build intuitive interactive visualizations that translate complex datasets into actionable business insights.

• Develop advanced DAX calculations and business logic; use Power Query / M for transformation, cleansing, and

preparation.

• Configure and optimize semantic models, RLS, Import/DirectQuery/composite models, incremental refresh, and data

gateways.

• Establish reusable reporting standards, templates, KPI definitions, and visualization best practices.

• Support deployment and lifecycle management across development, testing, and production; troubleshoot report, refresh,

gateway, semantic-model, and performance issues.

Data Engineering

• Design, build, and maintain scalable ETL/ELT pipelines supporting analytics and reporting.

• Integrate data from databases, APIs, files, cloud platforms, and enterprise applications.

• Develop optimized SQL queries, stored procedures, views, and transformation logic.

• Build and maintain data warehouse, data lake, and/or lakehouse solutions.

• Implement data cleansing, transformation, validation, reconciliation, and quality-control processes.

• Develop reusable pipelines/frameworks using Python, PySpark, SQL, and cloud-native services.

• Implement monitoring, error handling, logging, alerting, and operational support for pipelines.

• Optimize large datasets and processing workloads for performance, reliability, and cost efficiency.

• Support metadata, lineage, governance, data-quality, CI/CD, and version-control practices.

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