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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary :
We are seeking an experienced Data Modeler with a strong background in Azure Fabrics/Data Lake, Azure ADF (ETL), and various source systems such as Oracle E-Business Suite/Fusion and Microsoft CRM etc. The ideal candidate will be responsible for designing and developing scalable, efficient, and future-proof data models to support our organization's data integration and analytics needs. This role requires a strategic thinker who can translate business requirements into robust data architectures.

Key Responsibilities:
*Design and develop data models (conceptual, logical, and physical) to support reporting, analytics, and data integration initiatives.
*Should have good experience in any of Data Modelling Tools like Erwin, Visio, dbForge, Power Designer.
*Help data engineers for data pipelines using Azure Data Factory (ADF) to extract, transform, and load (ETL) data from various source systems.
*Leverage Azure Fabrics/Data Lake for data storage, management, and processing.
*Integrate data from Oracle E-Business Suite/Fusion and Microsoft CRM systems into Azure Data Lake and other cloud-based platforms.
*Ensure data quality, consistency, and governance throughout the data lifecycle.
*Collaborate with business analysts, data engineers, and stakeholders to gather and translate requirements into scalable data models.
*Optimize data models for performance and scalability to handle future data requirements.
*Develop and enforce best practices for data architecture, ETL processes, and data governance.
*Perform data profiling and analysis to identify and resolve data quality issues.
*Create and maintain comprehensive data documentation and metadata management.

Role Requirements and Qualifications:
*7+ years of proven experience as a Data Modeler in complex data environments.
*Strong expertise in Azure Data Fabrics, Azure Data Lake, and Azure Data Factory for ETL processes.
*Experience with Oracle E-Business Suite/Fusion and Microsoft CRM as source systems.
*Solid understanding of data warehousing concepts, star/snowflake schemas, and dimensional modelling.
*Familiarity with data governance practices and tools such as Azure Purview.
*Excellent problem-solving skills and ability to work independently and collaboratively.
*Strong communication skills to interact effectively with technical and non-technical stakeholders.
*Leverage Azure OpenAI, ML models, and Copilot for advanced analytics.
*Enable real-time data processing with Event Streams and KQL databases.
*Support data-driven AI applications by structuring data for efficient consumption.
*Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect) are a plus.
*Experience with Power BI or other BI tools for reporting and visualization.
*Knowledge of Azure Synapse Analytics and Databricks for advanced analytics.
*Familiarity with Agile methodologies and CI/CD practices for data projects.

Why Join Us:
*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
*Competitive compensation & benefits, ESOPs and international assignments.
*Supportive environment with healthy work-life balance and a focus on employee well-being.
*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.