Better Future Solutions

4 days ago

Dehradun, India Ebizon Full time

Key Responsibilities :


- 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
- Familiarity with modern storage formats like Parquet and ORC.

- 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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