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lavori presso Amazon in località Brasile

Data Engineer (Remote)

Data Engineer (Remote)
TECHBIZ GLOBAL OÜ
Roma
Remoto
EUR 40.000 - 80.000
Voglio ricevere notifiche sulle ultime opportunità lavorative presso Amazon.

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Digital Marketing Specialist (French + Italian) in Lisbon
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DevOps/Cloud Architect

DevOps/Cloud Architect
Recooty
Venezia
EUR 40.000 - 80.000
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Qualifiche principali:

Lavori da Home OfficeLavori da Tecnico De EnfermagemLavori da Auxiliar De EnfermagemLavori da NutricionistaLavori da PcdLavori da Tecnico De Seguranca Do TrabalhoLavori da Trabalho RemotoLavori da EnfermeiroLavori da Assistente AdministrativoLavori da Representante Comercial

Aziende principali:

Lavori presso BradescoLavori presso AmbevLavori presso AssaiLavori presso AtacadaoLavori presso SantanderLavori presso Coca ColaLavori presso ItauLavori presso Mercado LivreLavori presso HapvidaLavori presso Rede D Or

Città principali:

Lavori a Sao PauloLavori a Rio De JaneiroLavori a BrasiliaLavori a SalvadorLavori a Belo HorizonteLavori a FortalezaLavori a ColomboLavori a ManausLavori a CuritibaLavori a Recife

Data Engineer (Remote)

TECHBIZ GLOBAL OÜ
Roma
Remoto
EUR 40.000 - 80.000
Descrizione del lavoro

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About TechBiz Global
TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany, we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.

About the Data Solution Team
As a Data Engineer, you will join our Data Solution Team, which drives our data-driven innovation. The team is pivotal to powering our business processes and enhancing customer experiences through effective data utilization. Our focus areas include:

  1. Developing integrations between systems.
  2. Improving customer experience by leveraging statistical and machine learning models.

Our tech stack includes:

  • Cloud & Infrastructure: AWS (S3, EKS, Quicksight, and monitoring tools).
  • Data Engineering & Analytics: Apache Spark (Scala and PySpark on Databricks), Apache Kafka (Confluence Cloud).
  • Infrastructure as Code: Terraform.
  • Integration Tools & APIs: Segment.io, Blueshift, Zendesk, Google Maps API, and other external systems.

Responsibilities:

  1. Design, build, and own near-time and batch data processing workflows.
  2. Develop efficient, low-latency data pipelines and systems.
  3. Maintain high data quality while ensuring GDPR compliance.
  4. Analyze customer data and extract insights to drive business decisions.
  5. Collaborate with Product, Backend, Marketing, and other teams to deliver impactful features.

Requirements

  • 5+ years of experience as a Data Engineer, with expertise in Apache Spark using Python and Scala.
  • 3+ years of experience with Apache Kafka.
  • Strong proficiency in SQL.
  • Experience with CI/CD processes and platforms.
  • Hands-on experience with cloud technologies such as AWS, GCP or Azure.
  • Familiarity with Terraform.
  • Comfortable working in an agile environment.
  • Excellent problem-solving and self-learning skills, with the ability to operate both independently and as part of a team.

Nice to have

  • Hands-on experience with Databricks.
  • Experience with document databases, particularly Amazon DocumentDB.
  • Familiarity with handling high-risk data.
  • Exposure to BI tools such as AWS Quicksight or Redash.
  • Work experience in a Software B2C company, especially in the FinTech industry.

What we offer

Our goal is to set up a great working environment. Become part of the process and:

  • Shape the future of our organization as part of the international founding team.
  • Take on responsibility from day one.
  • Benefit from various coaching and training opportunities, including a Sports Subscription, German classes, and a €1000 yearly self-development budget.
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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