Senior Data Engineer – AdTech

Yesterday

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Logo of Sigma Software Group

Sigma Software Group

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

📋 Description

• Maintain and enhance existing data processes, ensuring reliability, performance, and scalability • Improve and support Python-based services and contribute to the development of new ones • Design, implement, and optimize scalable data architecture • Drive system reliability and performance improvements across all data workflows • Oversee and execute data process modernization, including the introduction of new tools and technologies • Manage data flow between local storage, AWS, and Snowflake to ensure performance and cost efficiency • Lead and support the migration of data pipelines and services to Snowflake • Work with and improve the data orchestration layer (Airflow), ensuring stable operation, scalability, and alignment with future platform needs • Collaborate with cross-functional teams to ensure architectural alignment and best practices adoption

🎯 Requirements

• 5+ year proficiency in Python for data processing and platform development • Advanced knowledge of SQL and the ability to write efficient and complex queries • Strong hands-on experience with Snowflake • Proficiency in DBT for data transformation and modeling • Practical experience working with Airflow to orchestrate of data workflows • Upper-Intermediate level of English

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development

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