We are looking for a skilled Data Modeller with robust experience in the Big Data ecosystem particularly in the Azure Data Platform and Databricks environment The ideal candidate should have a deep understanding of data modelling principles and hands-on expertise in building models in modern data architectures such as Unity Catalog and Delta Lake Key Responsibilities Design and develop conceptual logical and physical data models to support enterprise analytics and reporting needs Build and manage data models in Unity Catalog within the Databricks environment Work across teams to model and structure data in Delta Lake and optimize for performance and reusability Collaborate with data engineers architects and analysts to ensure models align with data ingestion transformation and business reporting workflows Translate business requirements into scalable and efficient data designs using best practices in data warehousing and Lakehouse architecture Maintain comprehensive documentation including data dictionaries data lineage and metadata Implement and support data governance data quality and security controls across datasets and platforms Qualifications and Skills 10 years of Hands-on data modelling experience in the Big Data ecosystem with a strong understanding of OLTP OLAP and dimensional modelling Hands - on experience in Data modelling techniques like Kimball Inmon Data vault and Dimensional Strong proficiency in data modeling tools e g ER Studio ERwin PowerDesigner dbt SQLDBM or Lucidchart Experience building and maintaining data models using Unity Catalog in Databricks Proven experience working with the Azure Data Platform including services like o Azure Data Factory o Azure Data Lake o Azure Synapse Analytics o Azure SQL Database Strong proficiency in SQL and Apache Spark for data transformation and querying Familiarity with Delta Lake Parquet and modern data storage formats Knowledge of data cataloging tools such as Azure Purview is a plus Excellent problem-solving skills and ability to work in agile and fast-paced environments Strong communication skills to articulate data concepts to technical and non-technical stakeholders Preferred Qualifications Bachelor s or Master s degree in Computer Science Information Systems or a related field Relevant certifications such as DP-203 Azure Data Engin About Us We re an international team who specialize in building technology products then helping brands grow with multi-channel demand generation marketing We have in-house experience working for Fortune companies e-commerce brands technology SaaS companies We have assisted over a dozen billion dollar companies with consulting technology operations and digital agency capabilities in managing their unique brand online We have a fun and friendly work culture that also encourages employees personally and professionally EbizON has many values that are important to our success as a company integrity creativity innovation mindfulness and teamwork We thrive on the idea of making life better for people by providing them with peace of mind The people here love what they do because everyone from management all way down understands how much it means living up close-to someones ideals which allows every day feel less stressful knowing each person has somebody cheering him Equal Opportunity Employer EbizON is committed to providing equal opportunity for all employees and we will consider any qualified applicant without regard to race or other prohibited characteristics Flexible Timings Flexible working hours are the new normal We at EbizON believe giving employees freedom to choose when to work how to work It helps them thrive and also balance their life better Global Clients Exposure Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world That s why you ll find us working closely with clients from around the world through Microsoft Teams Zoom and other video conferencing tools Retreats Celebrations With annual retreats quarterly town halls and festive celebrations we have a lot of opportunities to get together ndhkjYTwXs

📌 Data Modeller (India)
🏢 Ebizon
📍 India