Software Developer, Data Engineer

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Logo of Sigma Software Group

Sigma Software Group

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

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.

📋 Description

• Design and evolve the platform’s canonical data model • Architect and implement scalable data ingestion and synchronization frameworks • Build reliable, replayable, and highly scalable data processing pipelines • Design entity resolution and identity management capabilities • Define and implement data governance, lineage, and provenance standards • Drive architectural decisions related to scalability, resiliency, security, and operability • Collaborate with product and engineering teams to define platform capabilities and roadmap • Design APIs and delivery mechanisms for downstream consumers • Support customer migrations from legacy systems into the new platform • Mentor engineers and contribute to technical leadership across the team • Ensure platform reliability, performance, and operational excellence

🎯 Requirements

• At least 5+ years of experience as a Software Developer or Data Engineer • Strong expertise in Java • Deep understanding of data platforms, integration platforms, or distributed systems • Hands-on experience with stream processing technologies (Apache Beam, Spark, Flink, Kafka Streams) • Experience designing and operating event-driven architectures • Strong data modeling and schema design skills • Experience with cloud-native architectures (GCP preferred) • Experience designing multi-tenant SaaS platforms • Strong understanding of data governance, lineage, data quality, and observability concepts • Proven ability to drive architectural decisions and technical initiatives • Strong communication and collaboration skills • Upper-Intermediate+ English level

🏖️ Benefits

• Employees can work remotely

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