About the role
Optimize Snowflake usage and improve infrastructure cost efficiency
Identify inefficiencies in data pipelines and SQL queries
Implement performance and cost optimization improvements
Enhance and maintain Java-based services
Implement and support new platform features
Improve existing engineering processes and platform components
Develop scalable and reliable solutions for high-load environments
Contribute to architecture improvements and implementation of new components
Collaborate with distributed engineering teams to deliver stable platform functionality
At least 5 years of commercial experience in Big Data engineering
Strong hands-on experience with Snowflake
Strong expertise in Python
Strong expertise in Java
Advanced SQL knowledge and experience optimizing complex queries
Solid Computer Science fundamentals
Upper-Intermediate or higher English level
WILL BE A PLUS
Experience with AWS cloud services
Experience working with Amazon S3
Experience in AdTech, cybersecurity, fraud detection, or risk assessment domains
PERSONAL PROFILE
Proactive and ownership-driven mindset
Strong analytical and troubleshooting skills
Ability to work effectively in fast-paced environments
Team-oriented communication style
Focus on scalable and maintainable engineering solutions
Are you passionate about building scalable Big Data solutions and optimizing high-load platforms? We are looking for a Senior Big Data Engineer to join a long-term project in the cybersecurity and AdTech domain focused on real-time risk assessment for digital advertising ecosystems.
We at Sigma Software offer the opportunity to work on impactful products, collaborate with experienced engineering teams, and contribute to solutions operating on large-scale datasets in a fast-paced environment. You will have the freedom to influence technical decisions and drive meaningful improvements across the platform.
CUSTOMER
Our Customer operates in the cybersecurity domain and develops solutions aimed at protecting organizations and digital ecosystems from online risks and vulnerabilities. The company focuses on building advanced technologies that improve security, reliability, and operational resilience across various industries.
PROJECT
The project is a real-time risk assessment platform for digital advertising ecosystems. The solution helps customers identify potentially low-quality or fraudulent traffic and automatically make decisions before allocating advertising budgets. The platform processes large-scale data streams and requires continuous improvements in performance, scalability, and cost efficiency.
At the initial stage, the role will focus on Snowflake optimization and identifying inefficiencies in data pipelines and SQL queries. In the long term, the engineer will contribute to backend development, platform architecture improvements, and implementation of scalable Java-based services.
Originally posted on Himalayas