Job
Description
As a highly skilled Senior Power BI & Azure Data Factory Engineer, your role will involve designing and implementing scalable data pipelines to enable powerful business intelligence outcomes. Your deep hands-on experience in ETL development, data modeling, Azure cloud services, SQL development, and Power BI integration will be crucial for this position. **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 In addition to the specific role requirements, this opportunity offers: - 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 (Note: Company-specific details were not provided in the job description) As a highly skilled Senior Power BI & Azure Data Factory Engineer, your role will involve designing and implementing scalable data pipelines to enable powerful business intelligence outcomes. Your deep hands-on experience in ETL development, data modeling, Azure cloud services, SQL development, and Power BI integration will be crucial for this position. **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 In addition to the specific role requirements, this opportunity offers: - Opportunity to work on cloud-first and modern enterprise BI solutions - Highly collaborative and l
