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.

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

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

Personal Profile:

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

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