Big Data Engineer

Company Description

Join the AdTech Competence Center at Sigma Software, a team of over 300 experts who deliver innovative, high-load, and data-driven advertising technology solutions. Since 2008, we’ve been helping leading AdTech companies and startups design, build, and scale their technology products. 

We focus on fostering deep domain expertise, building long-term client partnerships, and growing together as a global team of professionals who are passionate about AdTech, data, and cloud-based solutions. 

Does this sound like an exciting opportunity? Keep reading, and let’s discuss your future role! 

CUSTOMER

Our client is an international AdTech company that develops modern, privacy-safe, and data-driven advertising platforms. The team works with AWS and other cutting-edge data technologies to build scalable, high-performance systems. 

PROJECT

The project revolves around the development of a next-generation AdTech platform that powers real-time, data-driven advertising. It leverages AWS, Python, and distributed data frameworks to process large-scale datasets efficiently and securely, enabling businesses to make smarter, faster, and more informed marketing decisions. 

Job Description

• Develop and maintain ETL pipelines and data integration services using Python and SQL 
• Work with AWS services (S3, DynamoDB, Lambda, Glue) and NoSQL databases (MongoDB, DynamoDB) 
• Design, optimize, and validate data flows, ensuring data quality across systems 
• Collaborate with Senior engineers on architecture and performance improvements 
• Troubleshoot production data issues and perform root cause analyses. 
• Contribute to the continuous improvement of development practices and performance monitoring 

Qualifications

• 2-4 years of experience as a Data Engineer or Back-end Developer 
• Strong hands-on experience with Python and SQL 
• Experience with AWS data services (S3, DynamoDB, Lambda, Glue) 
• Familiarity with NoSQL databases and API integrations
• Basic understanding of PySpark or similar distributed frameworks 
• Analytical mindset and proactive problem-solving skills 
• Fluent in English (Upper-Intermediate level or higher) 

WILL BE A PLUS

• Experience with Airflow or other orchestration tools 
• Interest in big data performance tuning and cloud optimization 

Additional Information

PERSONAL PROFILE

• Strong communication and collaboration skills 
• Self-motivated, responsible, and able to work independently