- 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
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.
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