Better Future Solutions - Data Modeler - Big Data

10 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

- Familiarity with modern storage formats like Parquet and ORC.
  • Design and develop conceptual, logical, and physical data models to support enterprise data initiatives.
  • Build, maintain, and optimize data models within Databricks Unity Catalog.
  • Develop efficient data structures using Delta Lake, optimizing for performance, scalability, and reusability.
  • Collaborate with data engineers, architects, analysts, and stakeholders to ensure data model alignment with ingestion pipelines and business goals.
  • Translate business and reporting requirements into robust data architecture using best practices in data warehousing and Lakehouse design.
  • Maintain comprehensive metadata artifacts including data dictionaries, data lineage, and modeling documentation.
  • Enforce and support data governance, data quality, and security protocols across data ecosystems.
  • Continuously evaluate and improve modeling processes and Skills and Experience :
  • 10+ years of hands-on experience in data modeling in Big Data environments.
  • Expertise in OLTP, OLAP, dimensional modeling, and enterprise data warehouse practices.
  • Proficient in modeling methodologies including Kimball, Inmon, and Data Vault.
  • Hands-on experience with modeling tools such as ER/Studio, ERwin, PowerDesigner, SQLDBM, dbt, or Lucidchart.
  • Proven experience in Databricks with Unity Catalog and Delta Lake.
  • Strong command of SQL and Apache Spark for querying and transformation.
  • Hands-on experience with the Azure Data Platform, including :
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Synapse Analytics
  • Azure SQL Database
  • Exposure to Azure Purview or similar data cataloging tools.
  • Strong communication and documentation skills, with the ability to work in cross-functional agile Qualifications :
  • Bachelor's or Masters degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Certifications such as Microsoft DP-203: Data Engineering on Microsoft Azure.
  • Experience working in agile/scrum environments.
  • Exposure to enterprise data security and regulatory compliance frameworks (e.g., GDPR, HIPAA) is a plus.
(ref:hirist.tech)

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