We are seeking an experienced Senior Data Engineer (Data Modeler) with strong expertise in Data Modeling, Medallion Architecture, PySpark, Databricks, and SQL to design, develop, and optimize enterprise-scale data models and data engineering solutions. The ideal candidate should have extensive experience in dimensional modeling, data normalization, data quality, and profiling, along with hands-on knowledge of modern data engineering practices.
This role requires close collaboration with cross-functional teams to build scalable, high-quality data solutions while leveraging AI-driven productivity tools and adhering to data governance best practices. Key Responsibilities
Design and develop enterprise-scale data models to support business and analytical requirements.
Implement and maintain Medallion Architecture for modern data platforms.
Design and optimize dimensional models and normalized data structures.
Develop scalable data engineering solutions using PySpark and Databricks.
Build and optimize complex SQL queries for data transformation and analysis.
Perform data quality checks and data profiling to ensure data integrity and consistency.
Utilize AI-powered productivity tools to improve data modeling and engineering efficiency.
Work with at least one enterprise Data Modeling Tool.
Collaborate with business and technical teams to deliver reliable data solutions.
Ensure adherence to data governance standards, including data lineage and metadata management.
Follow industry best practices for scalable and maintainable data engineering solutions.
Required
Skills
8+ years of experience in Data Modeling.
Strong knowledge of Medallion Architecture.
Expertise in Dimensional Modeling.
Strong understanding of Data Normalization techniques.
Hands-on experience with at least one Data Modeling Tool.
Robust experience in PySpark.
Hands-on experience with Databricks.
Advanced SQL and data analysis skills.
Experience with Data Quality and Data Profiling.
Knowledge of AI and its application for productivity improvement.
Strong analytical and problem-solving skills.
Preferred
Skills
Experience with AI tools for Data Modeling and Data Engineering productivity.
Experience in the CPG (Consumer Packaged Goods) domain.
Knowledge of Data Governance practices.
Experience with Data Lineage and Metadata Management.
Excellent communication and stakeholder management skills. Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
8+ years of experience in Data Modeling and Data Engineering.
Proven experience designing enterprise-scale data models and engineering solutions.
Ability to work effectively in a remote environment.
Mandatory
Skills
Data Modeling
Medallion Architecture
Dimensional Modeling
Data Normalization
PySpark
Databricks
SQL
Data Quality
Data Profiling
AI for Productivity
Data Modeling Tools Good to Have
AI Productivity Tools
CPG Domain Experience
Data Governance
Data Lineage
Metadata Management Work Location: Remote
Shift Timing: Normal Day Shift
📌 Senior Data Engineer (Data Modeler) (India)
🏢 GreatHR Solutions
📍 India
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