Senior Azure Advanced Analytics Engineer(Azure Data engineer)

Role & responsibilities

About the role

1. We are seeking a Senior Azure Advanced Analytics Engineer with 68 years of experience in data engineering, analytics, and cloud-based data solutions.
2. The candidate must have strong hands-on expertise in Azure Data Stack including Azure Data Factory, Azure Data Lake, Azure Databricks, and ETL pipeline development.
3. Design, develop, and optimize scalable data integration and transformation solutions across enterprise data platforms.
4. Build and maintain robust data pipelines using Databricks, ETL tools, and cloud-native Azure services for structured and unstructured data.
5. Candidates must be fluent in Microsoft Excel, including advanced skills in building pivot tables, templates, and data sets using formulas such as VLOOKUP, SUMIF, SUMPRODUCT, and other relevant functions to support complex data analysis and reporting needs.
6. Develop advanced analytics models using forecasting, regression, and statistical analysis techniques to support business decision-making.
7. Collaborate with business stakeholders, analysts, and engineering teams to deliver high-quality analytics and reporting solutions.
8. Experience with Alteryxfor workflow automation, data preparation, and advanced analytics is required.
9. Strong knowledge of data lake integration, data governance, performance tuning, and enterprise data architecture best practices is essential.
10. Good to have exposure to Power BI dashboards, visualization development, and business intelligence reporting.
11. Candidates with AI/ML exposure, certifications, training, or practical implementation experience in Generative AI or predictive analytics will be preferred.