Description

You will own the design, development, and maintenance of the data platform, ensuring scalable pipelines and reliable analytics infrastructure.

This role is on-site.

Responsibilities

• Build and optimize data pipelines using Python, AWS Airflow, and dbt Core.
• Manage and scale data warehousing solutions on Snowflake.
• Implement Infrastructure as Code using Terraform and containerize services with Docker.
• Collaborate with stakeholders to deliver data products and ensure data quality.
• Mentor team members and drive engineering best practices.

Required Skills

• 10+ years of experience in data engineering or related technical roles.
• Strong proficiency in Python for data processing and automation.
• Hands-on experience with dbt Core for transformation logic.
• Deep knowledge of Snowflake architecture and optimization.
• Experience with AWS Airflow for workflow orchestration.
• Proficiency with Docker for containerization and Terraform for IaC.
• Any Graduate degree.

Preferred Skills

• Experience with BI tooling such as Power BI or Tableau.
• Familiarity with Agile processes (Kanban or Jira).

Key Skills

Education

Any Graduate