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lavori da Data Scientist in località Brasile

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Funcional Health Tech

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BRL 120.000 - 160.000
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Qualifiche principali:

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Data Engineer
PALO IT
San Paolo
In loco
BRL 80.000 - 120.000
Tempo pieno
15 giorni fa

Descrizione del lavoro

A global technology consultancy is seeking a skilled Data Engineer with expertise in Informatica IDMC to join their team in São Paulo. The successful candidate will design and implement data pipelines, ensuring data quality and governance across multiple systems. The role requires strong data engineering skills, cloud platform integration experience, and problem-solving abilities, offering a stimulating work environment and opportunities for growth.

Servizi

Stimulating working environments
Unique career path
International mobility
Personalized training

Competenze

  • 3+ years of experience in data engineering or integration development.
  • Strong experience with Informatica IDMC (Cloud Data Integration, Application Integration, Data Quality).
  • Experience integrating with cloud platforms (AWS, GCP, or Azure).

Mansioni

  • Design, develop and deploy data pipelines using Informatica IDMC.
  • Collaborate with stakeholders to understand data requirements.
  • Optimize performance of data workflows and troubleshoot ETL pipeline issues.

Conoscenze

Informatica IDMC
SQL
Data Governance
Problem-solving
Cloud Integration

Formazione

Bachelor's degree in Computer Science, Engineering, or related field

Strumenti

AWS
GCP
Azure
Descrizione del lavoro

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We’re proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

We are robust and resilient (100% independent and 0 debt)

We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

We are positive, courageous, caring, doers and committed to excellence

About Gen‑e2

While the market is still largely AI‑augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game‑changer in productivity and quality, with a strong collaboration between generative AI and our best Talents.

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.

The quality consistently exceeds the output of our best traditional engineering teams.

A product repository houses all product artefacts, giving AI full project context for higher‑quality generation.

A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise‑grade quality and scalability.

With Gen‑e2, we deliver end‑to‑end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

We are looking for a skilled and passionate Data Engineer with expertise in Informatica IDMC to join our growing team. You will be responsible for designing and implementing robust, scalable, and high‑performing data pipelines and integrations across multiple systems.

Key Responsibilities

Design, develop and deploy data pipelines and integration flows using Informatica Intelligent Data Management Cloud (IDMC).

Collaborate with stakeholders to understand data requirements and translate them into technical solutions.

Ensure data quality, lineage, and governance across all data processes.

Optimize performance of data workflows and conduct root cause analysis of issues in ETL pipelines.

Build connectors to various data sources: on‑premise, cloud, APIs, databases (SQL/NoSQL), and streaming data.

Maintain and enhance existing integrations, implementing best practices for reliability and reusability.

Support cloud data migration and modernization initiatives using IDMC.

Work closely with Data Architects, Analysts, and DevOps to ensure smooth end‑to‑end delivery.

Maintain up‑to‑date documentation and contribute to knowledge sharing across teams.

Who You Are

Bachelor’s degree in Computer Science, Engineering, or related field.

3+ years of experience in data engineering or integration development.

Strong experience with Informatica IDMC (Cloud Data Integration, Application Integration, Data Quality).

Proficiency in SQL and data modeling techniques.

Experience integrating with cloud platforms (AWS, GCP, or Azure).

Familiarity with REST APIs, JSON, XML, and message queuing systems (Kafka, RabbitMQ).

Understanding of data governance, metadata management, and data lineage tools.

Excellent problem‑solving skills and the ability to work in a fast‑paced environment.

Nice to Have

Experience with Python, PySpark, or similar languages.

Certifications in Informatica or Cloud Platforms.

Exposure to Agile / Scrum methodologies.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

  • Deliver projects with a positive impact
  • Train 100% of our workforce on impact
  • Achieve B Corp certification among all our offices across the globe
  • Continuously measure & improve employee happiness

Our clients are amongst the world’s most successful companies. We innovate with both established Fortune 1000s, SMEs and start‑ups who aim to make an impact, become global leaders and address the world’s most complex challenges.

What We Offer
  • Stimulating working environments
  • Unique career path
  • International mobility
  • Internal R&D projects
  • Knowledge sharing
  • Personalized training

For more on our team culture and benefits: Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

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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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