Data Engineer [Job ID: 2111815650]

Degree Names

Description

We are looking for a passionate and skilled Data Engineer to join our growing team. In this role, you will play a critical part in designing and developing robust data pipelines, optimizing data infrastructure, and powering the backend of innovative products involving AI, automation, and analytics.

Responsibilities

• Design, develop, and maintain efficient and scalable ETL pipelines and data workflows.
• Work with large-scale databases and optimize systems for high performance and low latency.
• Collaborate with internal stakeholders to understand data needs and deliver end-to-end solutions.
• Ensure data integrity, quality, and availability across systems.
• Implement and maintain best practices for data modeling, indexing, and query optimization.
• Support AI-driven and real-time data systems as part of cross-functional projects.

Requirements

• Minimum 1 year of experience in a data engineering or similar backend role.
• Strong command of Python and experience with data libraries such as Pandas or Polars.
• Hands-on experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or columnar databases like ClickHouse.
• Solid understanding of data architecture, database design, and performance tuning.
• Proven experience in building and maintaining ETL pipelines or real-time data systems.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

Benefits

• Opportunity to work on cutting-edge AI and data technologies.
• A fast-paced, growth-oriented environment where learning is continuous and innovation is encouraged.
• Freedom to take ownership and influence system design decisions from the ground up.
• Access to resources, mentorship, and on-the-job training to help you upskill and grow.
• Flexible work environment with remote options available.

Required Skills