Senior Data Analyst - SQL/ETL

We are hiring a tech client in Bangalore for a Senior Data Analyst having good experience in Machine Learning and Azure Databricks and azure Data Factory who is responsible for aligning data solutions with dynamic business needs.

Job Designation : Senior Data Analyst-Azure Data Factory.

Mandatory Skills : Azure Databricks, Azure Data Factory, Py Spark, Machine Learning.

Location : Bangalore.

Key Responsibilities :

Data Pipeline Development :

- Design and implement efficient data pipelines using Azure Databricks with PySpark to transform and process large datasets.

- Optimize data workflows for scalability, reliability, and performance.

Application Integration :

- Collaborate with cross-functional teams to develop APIs using the .NET Framework for Azure Web Application integration.

- Ensure smooth data exchange between applications and downstream systems.

Data Warehousing and Analytics :

- Build and manage data warehousing solutions using Synapse Analytics and Azure Data Factory (ADF).

- Develop and maintain reusable and scalable data models to support business intelligence needs.

Automation and Orchestration :

- Utilize Azure Logic Apps, Function Apps, and Azure DevOps to automate workflows and streamline deployments.

- Implement CI/CD pipelines for efficient code deployment and testing.

Infrastructure Management :

- Oversee Azure infrastructure management and maintenance, ensuring a secure and optimized environment.

- Provide support for performance tuning and capacity planning.

Business Alignment :

- Gain a deep understanding of AMO data sources and their business implications.

- Work closely with stakeholders to provide customized solutions aligning with business needs.

BAU Support :

- Monitor and support data engineering workflows and application functionality in BAU mode.

- Troubleshoot and resolve production issues promptly to ensure business continuity.

Technical Expertise :

- Proficiency in Microsoft SQL for complex data queries and database management.

- Advanced knowledge of Azure Databricks and Py Spark for data engineering and ETL processes.

- Experience with Azure Data Factory (ADF) for orchestrating data workflows.

- Expertise in Azure Synapse Analytics for data integration and analytics.

- Proficiency in .NET Framework for API development and integration.

Cloud and DevOps Skills :

- Strong experience in Azure Infrastructure Management and optimization.

- Hands-on knowledge of Azure Logic Apps, Function Apps, and Azure DevOps for CI/CD automation.