Description

You will design and maintain scalable data pipelines and infrastructure to support large-scale data collection, processing, and analysis.

This role is hybrid.

Responsibilities

• Collaborate with business and technology stakeholders to gather requirements and translate them into scalable data solutions.
• Design, build, and maintain data pipelines and infrastructure for collecting, processing, and analyzing large datasets.
• Develop and optimize data models, warehouses, lakes, and lakehouse platforms for structured and unstructured data.
• Create analytical tools, scripts, and automation to improve data workflows and engineering efficiency.
• Ensure high performance, reliability, and data quality across all data platforms by implementing continuous improvements.

Required Skills

• 7+ years of hands-on data engineering experience.
• Proven expertise in designing and building scalable data pipelines and cloud-based data solutions.
• Strong experience with ETL tools and modern data platforms (data lakes/warehouses).
• Ability to deliver production-grade data solutions using Agile and TDD practices.
• Experience with performance optimization techniques for data systems.
• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience).
• Strong collaboration skills to work with cross-functional stakeholders.

Preferred Skills

• Experience with lakehouse platforms.

Key Skills

Education

Any Graduate