Data Engineer

RemoDevs is seeking a skilled Data Engineer to join a large-scale e-commerce and retail project. You will play a key role in building a modern, scalable data platform that powers advanced analytics, machine learning, and AI initiatives within a dynamic business environment.

Key responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and Spark.
• Integrate data from diverse business sources to create reliable and reusable data flows.
• Develop and optimize data processing solutions tailored for high-volume retail and e-commerce datasets.
• Collaborate with Data Scientists and business stakeholders to deliver high-quality data products.
• Ensure data pipelines are performant, cost-effective, and maintainable while establishing engineering best practices.

Requirements

• Proven hands-on experience with Databricks and building production-grade data pipelines.
• Mandatory professional experience within the e-commerce or retail industry.
• Strong proficiency in SQL and PySpark/Spark for distributed data processing.
• Solid understanding of modern data platform and lakehouse architectures.
• Experience working with cloud environments such as Azure, AWS, or GCP.

What we offer

• Opportunity to participate in a large-scale data transformation project for a major retail brand.
• Work with a modern, Databricks-based architecture to support AI and ML use cases.
• A fully remote working environment focused on professional growth and technical excellence.
• Engagement in complex data challenges including customer personalization and demand forecasting.