Azure Data Modeler - Mumbai - Han Digital Solution

    Han Digital Solution
    Han Digital Solution Mumbai

    2 days ago

    Full time Healthcare
    Description

    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.
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