Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи в целом понятны, а стек AWS и PySpark востребован, но очень высокие требования к стажу и формат аутсорсинговой компании снижают привлекательность предложения.
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Жесткие требованияАутсорсинговый форматСовременный стекПонятная специализацияAI и кибербезопасность
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AWS Python Developer / PySpark Data Engineer (AI): Developing scalable Python applications and large-scale data processing solutions on AWS and Spark with an accent on API integration, complex SQL, and big data optimization. Focus on troubleshooting Spark and application performance, automating CI/CD and infrastructure, and processing security-related datasets.
Location: Hybrid in Lafayette, LA; Knoxville, TN; Columbia, SC; or Birmingham, AL, United States.
Company
hirify.global delivers outsourced services and workforce solutions across North America.
What you will do
Develop scalable Python applications and data processing solutions for large datasets.
Integrate REST APIs with external services and data sources.
Write and optimize complex SQL queries and data transformations.
Process large datasets using Apache Spark/PySpark and AWS services.
Troubleshoot application and data-processing performance.
Contribute to CI/CD automation and collaborate with technical and business teams across the organization.
Requirements
8+ years of hands-on Python development experience, including data-intensive and big data applications.
Strong Python fundamentals and experience developing scalable, production-grade applications.
5+ years of Apache Spark/PySpark experience, including troubleshooting and optimizing Spark jobs.
5+ years of hands-on AWS development experience with EMR, Lambda, EventBridge, Step Functions, Redshift, S3, and Glue.
Advanced SQL skills, including complex queries, data transformations, joins, and recursive CTEs.
Experience developing and consuming REST APIs and integrating applications with external services and data sources.
Strong experience with large datasets, including data manipulation, transformation, analysis, and processing.
Experience with big data technologies including Hadoop/EMR, Spark, and Hive.
4+ years of experience with AI-related technologies or applications.
Hands-on CI/CD and infrastructure automation experience using GitLab and Terraform.
Strong debugging, performance-tuning, analytical, and problem-solving skills.
Ability to collaborate effectively across development teams and a matrixed organization.
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Culture & Benefits
Hybrid work model.
Direct-hire employment.
Eligible employees may receive medical, dental, vision, spending-account, life-insurance, and voluntary-plan benefits.
Participation in a 401(k) plan is available to eligible employees.
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