Databricks with Gen AI

Job Description

Skill Set

• data modelling

• Total Experience :

• 7.00 to 12.00 Years

• No of Openings :

• 1

• Job Post Date :

• 22/05/2026

• Job Expiry Date :

• 10/08/2026

• Domain :

• IT

• Location :

• MUMBAI [India]

• Job Reference No :

• 4074979

• Recommend to friend

• Job Summary

• Job Description: Data Modeler (Databricks)

• Overview

• We are seeking a highly skilled Data Modeler with expertise in Databricks and strong domain knowledge in Oil & Gas, Refinery & Marketing, and Commodity trading/management. The ideal candidate will have prior experience designing and implementing data models in similar business environments, regardless of the input data source or output tool.

• Key Responsibilities

• Data modeling: Design, develop, and optimize conceptual, logical, and physical data models to support business processes in Oil & Gas, Refinery & Marketing, and Commodity domains.

• Databricks development: Build scalable data pipelines, transformations, and models using Databricks and Delta Lake.

• Domain driven modeling: Translate complex business requirements into robust data structures aligned with industry standards.

• Collaboration: Work closely with business stakeholders, data engineers, and analysts to ensure models meet analytical and operational needs.

• Data governance: Ensure compliance with data quality, lineage, and governance standards.

• Performance optimization: Tune models and queries for efficiency and scalability across large datasets.

• Required Skills & Experience

• Strong hands on experience with Databricks, PySpark, and SQL.

• Proven track record of creating data models in Oil & Gas, Refinery & Marketing, or Commodity trading/management environments.

• Deep understanding of industry specific data entities such as production, refining, logistics, pricing, and trading.

• Ability to work with diverse data sources (structured, semi structured, unstructured) and integrate them into unified models.

• Familiarity with data warehousing concepts, ETL/ELT pipelines, and cloud platforms (Azure, AWS, or GCP).

• Strong analytical, problem solving, and communication skills.

Preferred Qualifications

• Experience with Delta Lake, Unity Catalog, and MLflow.

• Knowledge of data visualization tools (Power BI, Tableau, etc.) for model validation.

• Exposure to commodity risk management systems or ERP integrations.

• Understanding of data governance frameworks like DAMA DMBOK.

• Recommend to Friend

• Please enter your Name

• Please enter your email

• Please enter your Friends Name

• Please enter your friend's emailId Please enter valid email id , e.g. abc@gmail.com