Main Purpose:
Main Purpose
- We are recruiting an experienced Senior Software Engineer to develop core frameworks and services that power advanced data and analytics platform on AWS.
- Spearhead the architectural design and engineering of innovative solutions that drive the evolution of platform’s core capabilities.
- Implementation of shared libraries, frameworks, APIs, SDKs, microservices.
- Collaboration with cloud platform engineers, data engineers, data scientists and other software engineers.
Knowledge Skills and Abilities, Key Responsibilities:
Knowledge, Skills and Abilities
Technical Skillsets:
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Strong data and software engineering experience: Python, Java, PySpark
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Proficiency in designing, developing and maintaining APIs, client SDKs, microservices.
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Expertise in enterprise architecture as well as event-driven and serverless architectures.
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Familiarity with modern data engineering, distributed data processing engines and stream processing patterns
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Pracitcal knowledge of various testing methodologies and techniques.
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Experience in containerization and container orchestration engines.
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Strong experience in cloud technologies, particularly AWS i.e.: Glue/EMR, ECS/EKS, Redshift/Athena
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Experience with DevOps practices and familiarity with IaC frameworks.
Experience:
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Minimum 10 years of software engineering experience.
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Minimum 4 years of data engineering experience.
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Bachelor’s degree or higher in engineering.
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Prior experience in Investment Bank is preferred.
Competencies:
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Strong analytical and problem-solving skills.
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Effective communication and collaborative mindset.
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Time management and prioritization.
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Professional management of employee relationships at all levels.
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Passion for innovation.
Key Relationships and Department Overview:
Key Relationships
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Internal: Technical and functional stakeholders based in Geneva, UK, Mumbai and other Trafigura locations. Work closely with cloud platform engineers, data engineers and data scientists.
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External: Strategic outsourcing partners.
Department
The Data Science and Engineering team researches, develops and provides advanced analytics and data services to the trading business and other commercial operations at Trafigura. It is comprised of Data Scientists, Data Engineers and Quantitative Finance experts. It is a commercially driven, front office aligned team, that works in close partnership with the trading desks, global research and enterprise technology.