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9 дней назад

Senior Data Engineer (AWS)

75 - 85$
Формат работы
onsite
Тип работы
project
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AWS): Building and optimizing scalable data pipelines and cloud-based data processing solutions with an accent on Python, Scala, SQL, AWS EMR, AWS Glue, REST APIs, and Apache Kafka. Focus on designing distributed ETL/ELT architectures, developing real-time streaming systems, troubleshooting complex data pipelines, and ensuring data quality, performance, and scalability.

Location: McLean, VA; onsite work is preferred. Candidates available to work from other designated company locations may also be considered.

Pay rate: $75–$85 per hour, W2 only.

Duration: 7 months.

Company

hirify.global provides staffing and enterprise technology services.

What you will do

  • Design, develop, maintain, and optimize scalable data pipelines and data processing solutions.
  • Build ETL/ELT pipelines for data integration, transformation, and processing.
  • Use AWS EMR and Glue to develop and manage cloud-based data processing solutions.
  • Develop and integrate REST APIs and build real-time streaming solutions with Apache Kafka.
  • Write, optimize, and troubleshoot complex SQL queries and data pipeline issues.
  • Collaborate with cross-functional teams to deliver reliable, performant, and scalable data architectures.

Requirements

  • 5–10 years of professional experience in data engineering or a closely related field.
  • Strong programming experience with Python and Scala.
  • Hands-on AWS experience, including AWS EMR and AWS Glue for data processing and ETL development.
  • Strong SQL skills, including complex queries, data transformations, and performance optimization.
  • Experience developing and integrating REST APIs.
  • Hands-on Apache Kafka experience for real-time data streaming and processing.
  • Experience designing, developing, and maintaining scalable data pipelines; strong understanding of data integration, ETL/ELT processes, and distributed data processing.
  • Experience working with large datasets in enterprise environments.
  • Strong analytical, troubleshooting, problem-solving, organizational, and attention-to-detail skills.
  • Excellent interpersonal, written, and verbal communication skills, with the ability to collaborate across technical teams and manage multiple priorities in a fast-paced environment.

Nice to have

  • Experience with Artificial Intelligence (AI) or AI-related technologies.

Culture & Benefits

  • Enterprise environment focused on reliable, efficient, and scalable data solutions.
  • W2 employment for a fixed seven-month engagement.
  • Onsite work in McLean, VA is preferred; other designated company locations may be considered.

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