Required skills
Are you passionate about building large-scale data platforms that power analytics, machine learning, and strategic business decisions? We are looking for a Senior/Principal Data Engineer to join a distributed engineering team focused on modern cloud-native data solutions.
This is a fully remote opportunity for experienced Data Engineers who enjoy solving complex technical challenges, driving architecture decisions, and mentoring engineering teams. You will work with modern technologies across batch and real-time data processing environments while influencing the technical direction of enterprise-scale platforms.
We at Sigma Software create meaningful solutions together with talented professionals worldwide. Joining our team means working on impactful products, collaborating with strong engineering communities, and having opportunities for continuous professional growth and technical leadership.
Customer
Our customer’s project focuses on enterprise-grade data platforms supporting analytics, reporting, machine learning, and large-scale business operations. The environment includes distributed cloud infrastructure, modern engineering practices, and high-performance data processing solutions designed for scalability, reliability, and operational excellence.
Project
You will join a team responsible for designing and scaling modern data infrastructure capable of handling both batch and streaming workloads. The project includes platform modernization initiatives, architecture evolution, and implementation of secure and reliable data pipelines using cloud-native technologies. The role combines hands-on engineering, architectural ownership, and cross-functional collaboration with Product Managers, Analysts, and Software Engineers.
Key Technologies: AWS, Python, Apache Spark, Databricks, Kafka, SQL, ETL/ELT, Streaming Data Processing
