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Senior Big Data Engineer

October 31

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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

‱ Design, develop, and maintain robust data pipelines and ETL processes using Python, SQL, and PySpark ‱ Work with large-scale data storage on AWS (S3, DynamoDB, MongoDB) ‱ Ensure high-quality, consistent, and reliable data flows between systems ‱ Optimize performance, scalability, and cost efficiency of data solutions ‱ Collaborate with backend developers and DevOps engineers to integrate and deploy data components ‱ Implement monitoring, logging, and alerting for production data pipelines ‱ Participate in architecture design, propose improvements, and mentor mid-level engineers.

🎯 Requirements

‱ 5+ years of experience in data engineering or backend development ‱ Strong knowledge of Python and SQL ‱ Hands-on experience with AWS (S3, Glue, Lambda, DynamoDB) ‱ Practical knowledge of PySpark or other distributed processing frameworks ‱ Experience with NoSQL databases (MongoDB or DynamoDB) ‱ Good understanding of ETL principles, data modeling, and performance optimization ‱ Understanding of data security and compliance in cloud environments ‱ Fluent in English (Upper-Intermediate level or higher)

đŸ–ïž Benefits

‱ Professional development ‱ Paid time off

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