Data Engineer (Quick Commerce)

TL;DR

Data Engineer (Quick Commerce): Contributing to the development and optimization of a large-scale data model setup in Google Cloud with an accent on data pipeline complexities and performance. Focus on designing, building, and maintaining scalable data ingestion and ETL processes while ensuring data quality and compliance.

Location: Hybrid working model, 2 days a week in Berlin

Company

hirify.global is a leading local delivery platform operating in over 70 countries worldwide.

What you will do

• Manage data platform’s infrastructure components and optimize pipelines for high availability.
• Design and maintain scalable data pipelines and ETL processes using SQL and Python.
• Collaborate with cross-functional teams to define data requirements and enhance data models.
• Ensure data processes adhere to accuracy, privacy, security, and compliance standards.
• Build foundational data products for data science and analytics teams.

Requirements

• 3+ years of experience in data or analytics engineering.
• Strong programming skills in SQL and Python.
• Good understanding of IaaC tools like Terraform.
• Experience with cloud platforms such as GCP, AWS, or Azure.