SW Systems Engineer
September 12
Description
• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic data mining solutions and drive business-wide innovation. • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. • Transform vast amounts of raw data into actionable insights by developing scalable, efficient, and automated processes and tools for large-scale data analyses, metadata discovery, data integrity and accuracy. • Design and develop large-scale knowledge graphs through semantically linking information and datasets from across multiple product and technical domains. • Mentor and develop other engineers on the team, establish technical direction and foster team culture. • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Requirements
• Degree in mathematics/computer science or related discipline. • 4+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. • 4+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java. • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). • Experience working with distributed and big data technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, NoSQL, etc.). • Experience as a mentor, tech lead or leading an engineering team. • Adept at tackling highly complex, ambiguous or undefined problems.
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