Data Engineer

Role Overview

We are seeking a Data Engineer to design and build scalable data pipelines and platforms across AWS, Azure, and Databricks to support analytics and AI initiatives. This role is ideal for engineers who enjoy building modern, cloud-based data platforms that enable scalable analytics and AI.

What You Will Do

Design, build, and maintain scalable data pipelines using Databricks, Spark, and cloud-native services. Develop and optimize ETL/ELT workflows for batch and streaming data across AWS and Azure environments. Build and manage data models, data lakes, and warehousing solutions for analytics and AI use cases.

Why It Might Be a Fit

This role requires 5+ years of data engineering experience in cloud environments (AWS and/or Azure). Hands-on experience with Databricks, Apache Spark, and Delta Lake is also required.

Requirements

• 5+ years of data engineering experience in cloud environments (AWS and/or Azure)
• Hands-on experience with Databricks, Apache Spark, and Delta Lake
• Strong skills in Python / PySpark and SQL
• Experience with data pipelines, ETL/ELT, and data modeling
• Familiarity with orchestration tools (Airflow or similar) and modern data architectures