Description

You will build and maintain the core data infrastructure, ensuring scalability and reliability across the platform.

This role is on-site.

Responsibilities

• Design, develop, and maintain data pipelines using Snowflake, Databricks, and DBT.
• Write efficient SQL queries for data extraction and transformation.
• Implement data cleansing processes to ensure high data quality.
• Optimize data models for performance and scalability.
• Monitor and troubleshoot data pipeline performance issues.

Required Skills

• 5+ years of professional experience in data engineering.
• Hands-on experience with Databricks, DBT, and Snowflake.
• Proficiency in SQL and Python for data manipulation and automation.
• Strong knowledge of data pipeline design and implementation.
• Experience in data modeling, performance optimization, and data cleansing.
• Understanding of ETL processes and data warehousing concepts.
• Ability to collaborate with cross-functional teams to translate business requirements.

Key Skills

Education

Any Graduate