What roles and responsibilities will be performed by the selected candidate?.

- Design, build, and maintain data pipelines using Azure Data Factory and other Azure services.

- Develop and optimize SQL queries for data extraction, transformation, and loading (ETL).

- Implement data integration solutions across multiple sources and ensure data quality and consistency.

- Analyze and understand business logic embedded in stored procedures and assist in rewriting or optimizing them for better performance and maintainability.

- Design and implement robust data models (star/snowflake schemas), optimizing relationships, cardinality, and performance.

- Develop advanced and high-performance DAX measures (time intelligence, complex calculations, optimization techniques).

- Implement Row-Level Security (RLS) and role-based access to ensure secure, governed data consumption.

- Build scalable, interactive Power BI reports and dashboards, following best practices for usability and performance.

- Configure report scheduling, refresh, and delivery using Power BI Service, gateways, subscriptions, and alerts.

Expectation :

- What is the expectation from the candidates current role/profile?.

- Solid experience in data engineering or related roles.

- Strong proficiency in SQL (complex queries, stored procs, performance tuning).

- Hands-on experience with Azure Data Factory and Azure Data Services (e., Azure Data Lake, Azure Synapse, Azure SQL Database).

- Solid understanding of ETL processes and data warehousing concepts.

- Intermediate to Advance level Power BI Skillset.

- Experience with version control (Git) and CI/CD for data pipelines.

- Excellent problem-solving and communication skills.