2 дня назад
Senior DataOps Engineer (AWS)
3 571 - 4 100€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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