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2 дня назад

Senior DataOps Engineer (AWS)

3 571 - 4 100
Формат работы
remote (только Portugal)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior DataOps Engineer (AWS): Designing and operating scalable batch and streaming data pipelines, warehouses, and lakehouse architectures with an accent on AWS, CI/CD, observability, and data governance. Focus on automating data infrastructure with IaC, solving pipeline and query performance issues, and leading incident resolution and root cause analysis.

Location: Remote from Portugal

Salary: €3,571–€4,100 gross per month, including fixed and variable compensation, meal allowance, remote work allowance, and benefits.

Company

hirify.global is a growing technology company focused on delivering software engineering and data solutions through dynamic, quality-driven teams.

What you will do

  • Design, build, and maintain scalable batch and streaming data pipelines.
  • Develop and optimize data models, data warehouses, and lakehouse architectures.
  • Build and automate CI/CD pipelines for data workflows and deployments.
  • Implement monitoring, alerting, data quality, lineage, governance, and security controls.
  • Manage infrastructure as code and optimize pipeline and query performance across environments.
  • Lead incident resolution and root cause analysis while collaborating with analysts, data scientists, and engineering teams.

Requirements

  • 5+ years of experience in data engineering with strong DevOps or platform engineering exposure.
  • Strong SQL and data modeling skills, including dimensional, normalized, and lakehouse models.
  • Proficiency in Python and working knowledge of Scala, Java, or Go.
  • Hands-on experience with Airflow, dbt, Spark or Flink, streaming architectures, and data warehouse platforms such as Redshift or Snowflake.
  • Advanced AWS experience with services including Glue, EMR, Redshift, Athena, S3, Lambda, and Kinesis.
  • Experience with CI/CD, infrastructure as code, observability tools such as Grafana and CloudWatch, and data governance and security.

Nice to have

  • Experience with Docker, ECS, or Kubernetes.
  • Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.
  • Knowledge of multi-cloud and data warehouse cost optimization.

Culture & Benefits

  • Remote work regime from Portugal.
  • Flexible pay and medical insurance.
  • Unlimited access to technological training.
  • Opportunities for professional development in a growing company.
  • Compensation includes benefits and remote-work allowances.

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