Posted:1 day ago|
Platform:
On-site
Full Time
Azure Data Modeler
Overall Exp: 5+
Location: Mumbai
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).
• Strong proficiency in SQL and experience working with Spark, Python, and other data processing languages.
• Proven experience with Azure Databricks, Azure Data Lake, and other Azure data services
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