Role Overview

We are looking for a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions. The ideal candidate will have strong expertise in Snowflake, dbt, and BI reporting, with the ability to work closely with business stakeholders and deliver high-quality data models andinsights.

Key Responsibilities:

Data Engineering & Modeling

• Design and implement scalable data models in Snowflake

• Build and maintain transformation pipelines using dbt

• Develop optimized star/snowflake schemas for analytics and reporting

• Implement data quality checks and validation tests

• Optimize Snowflake warehouses for cost and performance

Business Intelligence & Reporting

• Develop reports and dashboards using Power BI

• Build and manage datasets and semantic models

• Develop Paginated Reports (RDL)

• Implement DAX calculations and Row-Level Security

• Collaborate with stakeholders for business requirements

DevOps & Governance

• Manage CI/CD pipelines using Azure DevOps

• Maintain version control using Git

• Deploy across Dev/Test/Prod environments

• Ensure data governance and security compliance

Technical Requirements

• 5–8 years in Data Engineering or BI

• Strong experience with Snowflake, dbt, SQL, Python

• Power BI (Data Modeling, DAX)

• Power BI Paginated Reports (RDL)

• Azure DevOps (CI/CD)

• Dimensional data modeling knowledge

Good to Have

• Azure cloud experience

• Data security & compliance knowledge

• Agile/Scrum experience

• ADF or Airflow exposure

Functional Skills

• Strong problem-solving ability

• Independent working capability

• Excellent communication skills

• High ownership and attention to detail