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We are seeking a highly skilled and experienced Software Engineer III to join a dynamic Data Engineering team focused on architecting, implementing, and supporting data storage and retrieval solutions for fraud-related data. This role involves working with petabyte-scale datasets across both on-premises and cloud environments, offering a unique opportunity to design and optimize big data solutions on limited hardware resources.
Job Responsibility:
Collaborate with technical teams to finalize requirements and translate them into scalable software designs
Write and review detailed specifications and implement complex system components
Resolve technical issues and complete advanced bug fixes
Design and work with complex data models and storage subsystems
Implement and advocate for development best practices, including test-driven development and code reviews
Mentor junior engineers and contribute to team knowledge sharing
Stay current with emerging technologies and industry trends
Support the full software development lifecycle, from design through production support
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of professional software engineering experience
Proficiency in big data technologies, with strong experience in Snowflake, Hadoop, and Kafka
Strong programming skills in Java, GoLang, and SQL
Experience with data manipulation and optimization techniques
Solid understanding of normalized and dimensional data modeling
Familiarity with multiple data storage subsystems and NoSQL databases
Experience with Databricks is a significant plus
Knowledge of software development methodologies, especially Agile
Strong research and problem-solving skills
Excellent communication skills, both written and verbal
Nice to have:
Experience with Databricks
What we offer:
Medical, vision, dental, and life and disability insurance
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