India

Detailed JD (Roles and Responsibilities)

- Unique responsibilities across management and Azure data engineering.
- Candidate will need to manage analytics and applications to integrate, consolidate and cleanse data to load into a structure for use in reporting applications. ETL (extract, transform, and load) on the Azure platform using Azure Synapse Link and ADF pipelines
- Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for business owners to interpret.
- Acquiring datasets that align with business needs and creating data models (data marts) that can be accessed by BI Systems Analysts as well as end users for report creation.
- Manage Data Quality and Velocity for production datasets.
- Transforming data into useful, actionable information.
- Collaboration with leadership to understand department reporting objectives.
- Working with cross-functional teams to develop solutions that accumulate data, alleviate cumbersome manual processes, and ensure financial results are accurate.
- Identifying process improvement opportunities.
- Supporting dimension management, metadata design/maintenance, ETL development, and data validation processes.
- Development with Agile methodology.
- Delivering reliable, scalable, and productive business solutions by supporting all phases of the software development life cycle (SDLC),



including requirements gathering, modeling and design, development, testing, deployment, integration, and documentation.
- Power BI Architecture and development experience-
- Ability to apply scalable and high-performance Power BI architecture for enterprise reporting

Total Experience

10+ year

Relevant Experience

5-7 Years

Mandatory skills

- Power Platform – Power BI, Power Apps, Power Automate, Power Agents, PBI Paginated Reports
- Azure - Azure SQL Server, Azure Synapse Analytics, Azure Data Factory, Data Bricks, Fabric,
- Machine Learning Data Modelling – Conceptual, Logical and Physical Reports Migration – Cognos to Power BI, Qlik to Powe BI, SSRS to Power BI
- Data Migration – D365 F&O; to Azure SQL, Heterogeneous source systems to Azure SQL
- AI – Machine Learning, Generative AI

Desired skills
- Power Platform – Power BI, Power Apps, Power Automate, Power Agents, PBI Paginated Reports
- Azure - Azure SQL Server, Azure Synapse Analytics, Azure Data Factory, Data Bricks, Fabric,
- Machine Learning Data Modelling – Conceptual, Logical and Physical Reports Migration – Cognos to Power BI, Qlik to Powe BI, SSRS to Power BI
- Data Migration – D365 F&O; to Azure SQL, Heterogeneous source systems to Azure SQL
- AI – Machine Learning, Generative AI

Domain (Industry)

Manufacturing

📌 Caterpillar | Power BI (India)
🏢 Clifyx
📍 India