Posted on: 23/11/2025
Job Description :
We are looking for a highly skilled Senior Power BI & Azure Data Factory Engineer to design and implement scalable data pipelines and enable powerful business intelligence outcomes. The role demands deep hands-on experience in ETL development, data modeling, Azure cloud services, SQL development, and Power BI integration.
Roles & Responsibilities :
- Design, develop, and maintain robust ETL pipelines using Azure Data Factory.
- Implement and optimize end-to-end data workflows across cloud environments.
- Develop Power BI dashboards and data models, integrating datasets for impactful business insights.
- Write highly optimized SQL queries while working with relational databases such as Snowflake, SQL Server, PostgreSQL, MySQL, etc.
- Leverage Python (Pandas, NumPy, etc.) for data extraction, cleansing, validation, and transformation.
- Design efficient data models and schemas with a strong understanding of normalization and denormalization.
- Ensure data governance and security, including role-based access control, encryption, and masking.
- Utilize Azure Blob Storage, Azure Key Vault, and other Azure components for secure and scalable data operations.
- Implement task automation and orchestration for data pipeline execution and monitoring.
- Collaborate with cross-functional stakeholders to address data requirements and resolve issues proactively.
Essential Skills & Experience :
- 8- 9 years of experience in data engineering and BI development
- Advanced SQL skills and hands-on experience with relational databases
- Strong expertise in Azure Data Factory for ETL pipeline building
- Proficiency in Power BI dashboard development, data modeling & DAX (preferred)
- Knowledge of Python and data libraries (Pandas, NumPy) Azure cloud exposure including Blob Storage, Key Vault, ADF
- Experience with data governance, security, and access control
- Familiarity with automation/orchestration tools for pipeline management
- Strong communication, problem-solving, collaboration & adaptability
Good to Have :
- Experience with big data platforms Databricks, Spark, Hadoop
- Exposure to CI/CD for data pipelines
- Implementation experience across enterprise-scale BI environments
Why Join Us :
- Opportunity to work on cloud-first and modern enterprise BI solutions
- Highly collaborative and learning-oriented environment
- Impact-driven role working with high-visibility data products
Did you find something suspicious?
Posted By
Posted in
Data Analytics & BI
Functional Area
Data Engineering
Job Code
1578899
Interview Questions for you
View All