Big Data Engineer

Summary The software engineer will be is responsible for architecting, implementing, and supporting data storage and retrieval solutions for fraud-related customer data both on-prem and in the cloud. The team handles petabytes of data, stored in various databases. Responsibilities Interface with other technical personnel or team members to finalize requirements. • Write and review portions of detailed specifications for the development of complex system components. • Complete complex bug fixes. • Work closely with other development team members to understand complex product requirements and translate them into software designs. • Successfully implement development processes, coding best practices, and code reviews. • Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. • Resolve complex technical issues, as necessary. Qualifications 5+ years of Software Engineering experience • BS Engineering/Computer Science or equivalent experience required Technical Skills Proficiency in big data, with preference given to experience with Snowflake, Hadoop. • Good understanding of Kafka. • Advanced knowledge of software development methodologies (e.g., Agile). • Strong proficiency with data manipulation language including optimization techniques. • Strong understanding of normalized/dimensional data modelling principles. • Strong knowledge of multiple data storage subsystems. • Expertise in development languages including but not limited to: Java/J2EE, SQL, GoLang. • Strong research skills. • Strong knowledge in industry best practices in development. • Knowledge in using and developing applicable tool sets. • Ability to interface competently with other technical personnel or team members to finalize requirements.