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1 день назад

Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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
Data Engineer (ETL/Data Infrastructure): Designing, developing, and maintaining scalable data pipelines, data sets, and systems for company data infrastructure with an accent on ETL processes, data modeling, and data quality. Focus on optimizing data performance with partitioning, indexing, and caching, resolving flow interruptions, and supporting analytical and reporting needs across client assignments.

Location: Travel to various unanticipated client locations within the United States for short- and long-term assignments; relocation and telecommuting may be required.

Company

hirify.global provides technology services involving data infrastructure and engineering support.

What you will do

  • Design, develop, and maintain scalable data pipelines, data sets, and data infrastructure systems.
  • Collaborate with stakeholders, business analysts, and software engineers to understand data requirements and provide technical support.
  • Develop ETL processes that transform raw data into usable formats for analysis and operational use.
  • Design and implement data models supporting business analytics and reporting.
  • Ensure data integrity, consistency, availability, and performance through quality checks and monitoring.
  • Document pipelines and best practices, and identify and resolve issues affecting data flow.

Requirements

  • Master’s degree in computer science, computer applications, or engineering, including Mechanical, Information Technology, Civil, Electrical, or Electronics Engineering.
  • A bachelor’s degree in the same fields plus five years of progressive experience in related fields may replace the master’s degree.
  • Foreign education equivalent is accepted.
  • Use at least three of the following tools: Oracle, SQL Server, UNIX, Python, AWS, Azure, Git, Apache Spark, Apache Kafka, Apache Airflow, or Google BigQuery.
  • Experience with SQL, ETL, Informatica, DB2, or Snowflake.

Culture & Benefits

  • Assignments may be short-term or long-term and may require travel to client locations within the United States.
  • Relocation and telecommuting may be required depending on assignment needs.

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