Senior Azure Advanced Analytics Engineer(Azure Data engineer)

PwC Service Delivery Center; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC Service Delivery Center is looking for a Senior Azure Advanced Analytics Engineer in Hyderabad, India. The role involves building and optimizing data pipelines, developing advanced analytics models, and collaborating with stakeholders to deliver quality analytics solutions.

Candidates should have strong expertise with Azure technologies and tools like Data Factory, and must be fluent in Excel for advanced data analysis. Exposure to AI/ML is preferred.

Qualifications

• Proven experience in data engineering, analytics, and cloud-based data solutions.
• Strong hands-on expertise in Azure Data Stack including Azure Data Factory, Azure Data Lake, and Azure Databricks.
• Fluent in Microsoft Excel with advanced skills for complex data analysis.

Responsibilities

• Design, develop, and optimize scalable data integration solutions.
• Build and maintain data pipelines using Databricks and ETL tools.
• Develop advanced analytics models to support business decision-making.

Skills

Azure Data Stack expertise

Microsoft Excel

Data engineering

Data governance

Alteryx for workflow automation

AI/ML exposure

Tools

Azure Data Factory

Azure Data Lake

Databricks

Power BI

Job description

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 Alteryx for 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.