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3 часа назад

Data Engineer (AWS)

115 000 - 130 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (AWS): Building large-scale batch and real-time data pipelines, APIs, and cloud data solutions for client business needs with an accent on AWS services, data transformations, and cloud migration. Focus on designing custom ETL processes, troubleshooting database platforms, translating business requirements into technical specifications, and moving data from on-premises systems to the cloud.

Location: Work from home; specific geographic location is not stated.

Salary: $115,000–$130,000 USD annually, plus eligibility for an annual performance bonus.

Company

hirify.global delivers cloud-based data and engineering solutions for client business needs.

What you will do

  • Evaluate business needs, collaborate with business partners, and address data systems and management requirements.
  • Translate business requirements into technical specifications, application definitions, and enhancement requirements.
  • Participate in project planning, define milestones and deliverables, and track execution.
  • Create design, development, test plans, functional specifications, interface designs, and process flow charts.
  • Develop APIs and large-scale batch and real-time data pipelines using Python, SQL, Spark, and AWS services.
  • Migrate data from on-premises systems to the cloud and perform cloud data conversions.

Requirements

  • Experience in data engineering, particularly data pipelines, analytics, and reporting.
  • Exposure to AWS Cloud Platform and experience designing solutions with AWS services such as EC2, S3, EMR, Kinesis, RDS, Redshift, Lambda, Glue, Athena, and API Gateway.
  • Strong SQL experience, including data transformations and troubleshooting across at least one database platform such as Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, or Databricks.
  • Experience designing and building data extraction, transformation, and loading processes with custom data pipelines.
  • Experience with a scripting language such as Python.

Nice to have

  • AWS Solutions Architect Professional or Data Specialty certification.
  • Machine learning experience.
  • Advanced generative AI experience.

Culture & Benefits

  • Full-time work-from-home arrangement.
  • Medical, dental, and vision coverage.
  • Paid time off.
  • Annual performance bonus eligibility.

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