Description

Design scalable data models and implement efficient ETL/ELT pipelines to support analytics and reporting.

This role is hybrid.

Responsibilities

• Design and implement dimensional models using Star and Snowflake schemas.
• Develop and maintain data transformation logic using dbt (data build tool).
• Build and optimize ETL/ELT pipelines for large-scale data processing.
• Manage Git version control and CI/CD pipelines for data engineering workflows.

Required Skills

• 5+ years of experience in Data Warehousing and Data Modeling.
• Strong proficiency in SQL for complex, large-scale transformations.
• Hands-on expertise with dbt (data build tool).
• Experience with cloud data warehouses: Snowflake, BigQuery, Redshift, or Azure Synapse.
• Practical knowledge of Git and CI/CD pipeline implementation.
• Understanding of modern data architecture concepts and ELT patterns.

Preferred Skills

• Experience with advanced analytical problem-solving in data engineering contexts.

Key Skills

Education

Any Graduate