Data Modeler- Associate

7 days ago


Mumbai, Maharashtra, India JPMorgan Chase Full time ₹ 6,00,000 - ₹ 18,00,000 per year

You are a strategic thinker passionate about driving solutions in  Data Modelling. You have found the right team.

As a Data Modeler within our team, you will be responsible for designing, developing, and optimizing data models to support data integration, transformation, and analytics within Databricks. You will handle data from various sources, ensuring scalable, efficient, and high-quality data solutions.

Job Responsibilities 

- Design and implement data models (conceptual, logical, and physical) to support business requirements. 
- Work with structured and unstructured data from multiple sources and integrate them into Databricks. 
- Collaborate with data engineers, analysts, and business stakeholders to understand data needs. 
- Ensure data governance, quality, and compliance with industry standards. 
- Create and maintain documentation for data models, pipelines, and architectures. 
- Troubleshoot and optimize queries and workflows for performance improvement. 
- Create/modify queries at consumption level for end users.

Required qualifications, capabilities, and skills 

  • 5+ years of experience in data modeling with strong SQL knowledge.
  • Strong expertise in Databricks, Delta Lake, advanced queries
  • Experience with SQL, Python for data manipulation.
  • Knowledge of ETL/ELT processes and data pipeline development.
  • Hands-on experience with data warehousing, relational databases, and NoSQL.
  • Familiarity with data governance, security, and compliance best practices.
  • Strong problem-solving skills and the ability to work in an agile environment.

Preferred qualifications, capabilities, and skills 

  • Experience working with large-scale data systems and streaming data.
  • Knowledge of business intelligence (BI) tools and reporting frameworks.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Experience with OLAP tools (TM1, Essbase, Atoti etc) is a plus.
  • Experience in finance domain (P&A, Markets etc) will be preferable. 


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