Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана понятно, стек Python и AWS актуален, а условия включают конкретные льготы и обучение. Без указанной зарплаты сложнее оценить финансовую сторону предложения.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Investment Technology Team (AWS/Python): Building cloud-native ETL pipelines, data analysis applications, scalable microservices, and message-driven applications for investment management, risk, analytics, and portfolio operations with an accent on Python, AWS, data modeling, and financial data. Focus on designing investment research and reporting solutions, automating manual processes, and supporting data-driven portfolio management under Agile delivery and on-call requirements.
Location: Hybrid, based in the Kansas City, Missouri office; employees must attend the office on a scheduled frequency. Applicants must be authorized to work in the United States without visa sponsorship, now or in the future.
Company
hirify.global is a privately owned global investment manager focused on equities, fixed income, multi-asset strategies, ETFs, private investments, and investment research.
What you will do
Work hands-on with Technical Leads, Product Owners, Architects, internal business partners, and vendors to identify and implement software solutions.
Build and deliver cloud-native ETL pipelines, data analysis applications, scalable microservices, and message-driven applications through Agile development.
Create solutions for investment management research and reporting.
Automate manual processes and enable portfolio management and research teams to build data-driven solutions.
Provide team-based on-call support; occasional overtime may be required.
Requirements
Bachelor’s degree in computer science, finance, or business, or an equivalent combination of education and work experience.
5+ years of application development and support experience with Python, Pandas, NumPy, AWS S3, Step Functions, Lambdas, SNS, SQS, and Glue or Apache Spark.
Strong demonstrable data-modeling experience for relational SQL and NoSQL applications. Preferred database technologies include SQL Server, PostgreSQL, and DB2.
Strong understanding of architectural and software design patterns.
Strong written and verbal communication skills and a passion for architectural and technical documentation.
Broad knowledge of software engineering and testing methodologies.
Experience working in an Agile framework.
Demonstrated behaviors: client focus, courage and accountability, collaboration, curiosity and adaptability, and competitive drive.
Nice to have
Cloud-native and AWS development experience.
Experience with investment management data and data vendors such as Bloomberg or FactSet.
Culture & Benefits
Hybrid work with required scheduled office attendance.
Competitive compensation package with a bonus plan.
Generous paid time off and competitive benefits.
401(k) with a 5% company match and an annual performance-based discretionary contribution.
Tuition reimbursement, formal mentorship, and live and online learning opportunities.
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