Azure Data Modeler

Job highlights

• . Strong experience in migrating data from Salesforce,Oracle,and SQL Server-based applications into cloud environments,specifically Azure
• Location: Mumbai (Preference)
• Qualifications: . 5+ years of experience in data modeling,with a strong focus on cloud-based environments (preferably Azure)

Azure Data Modeler

Overall Exp: 8+

Location: Mumbai (Preference)

Need quick joiner to 30 Days

Key Responsibilities:

• Design, implement, and optimize data models in Azure Databricks to support large-scale data migration projects from Salesforce, Oracle, and SQL Server-based applications.

• Collaborate with business stakeholders, data architects, and data engineers to understand data requirements and translate them into scalable, high-performance data models.

• Develop conceptual, logical, and physical data models to ensure data consistency, integrity, and optimal performance in the Azure cloud environment.

• Work closely with the data engineering team to ensure smooth integration of data from Salesforce, Oracle, and SQL Server into Azure Databricks using ETL pipelines.

• Optimize and fine-tune data models for large datasets, focusing on performance, scalability, and cost efficiency within the Azure platform.

• Ensure data governance, security, and compliance standards are met when designing and implementing data models and pipelines.

• Develop and maintain documentation for data models, including relationships, entities, transformations, and business rules.

• Implement best practices for data modeling, including naming conventions, data types, and normalization/denormalization strategies.

• Collaborate with data scientists and analysts to ensure the data models support business intelligence, reporting, and machine learning initiatives.

• Conduct data quality assessments and validate the accuracy of migrated data.

• Troubleshoot, resolve, and optimize data model-related performance and data quality issues across the migration process.

Qualifications:

• 5+ years of experience in data modeling, with a strong focus on cloud-based environments (preferably Azure).

• Proven experience with Azure Databricks, Azure Data Lake, and other Azure data services

• Strong experience in migrating data from Salesforce, Oracle, and SQL Server-based applications into cloud environments, specifically Azure.

• Expertise in designing and optimizing relational and dimensional data models (star/snowflake schemas, normalization/denormalization, etc.).

• Strong proficiency in SQL and experience working with Spark, Python, and other data processing languages.

• In-depth understanding of ETL processes, data integration, and pipeline optimization.

• Familiarity with data governance, security policies, and compliance standards in cloud environments.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Ability to translate business requirements into scalable and optimized data models.

• Strong problem-solving and analytical skills to troubleshoot and optimize complex data modeling issues.