Data Engineer

We’re looking for a Data Engineer to design and build ETL processes that turn raw data into clean, aggregated datasets. You’ll work closely with analysts, product, and business teams to understand needs and deliver scalable, production-ready data models.

This is a hands-on role in a high-scale environment, working with massive data volumes and real business impact.

Requirements:

2+ years of hands-on experience as a Data Engineer or in a similar role
Strong knowledge of SQL and Python
Experience with Apache Spark or similar big data frameworks
Familiarity with Airflow or other orchestration tools
Comfortable working in a cloud-based environment
Strong business intuition
Independent, proactive, and curious
Experience working with large-scale data and building clean, efficient data infrastructure

Responsibilities:

Design and build end-to-end ETL processes using Python, SQL, and Spark
Translate business needs into robust data solutions—don’t just execute, help shape the direction
Own the development of data tables and pipelines that are maintainable, reusable, and scalable
Collaborate with analysts, data scientists, and other stakeholders to understand requirements
Drive automation and avoid redundant tables and duplicated logic
Monitor, troubleshoot, and continuously improve data workflows