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Chief Data Architect

Bebeedataengineer

São Paulo

Presencial

BRL 100.000 - 150.000

Tempo integral

Há 26 dias

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Resumo da oferta

A leading IT company in São Paulo is seeking a Data Engineer to develop and manage data pipelines and implement Big Data solutions in Microsoft Azure. The ideal candidate will have experience with ETL tools and a strong background in data governance. This role offers opportunities for professional growth, an inclusive culture, and various employee benefits such as health insurance and free online courses.

Serviços

Health insurance
Dental Plan
Life insurance
Transportation vouchers
Meal / Food Voucher
Childcare assistance
Gympass
International experience opportunity
Discount Partnerships with Universities

Qualificações

  • Experience in developing and maintaining data pipelines using ETL / ELT tools.
  • Skilled in modeling data in relational and multidimensional formats.
  • Proficient in implementing and managing Big Data solutions in cloud environments.

Responsabilidades

  • Develop and maintain robust data pipelines.
  • Model data to optimize queries.
  • Act as a technical reference for data teams.
  • Implement Big Data solutions on Microsoft Azure.
  • Ensure data governance and quality standards.

Conhecimentos

Real-time data loading and replication
Cloud platforms (AWS, GCP)
Agile methodologies (Scrum, Kanban)
Advanced English for technical reading

Ferramentas

Azure Data Factory
Synapse Pipelines
SSIS
Descrição da oferta de emprego

Come to one of the biggest IT companies in the world where you can transform your career.

We believe that people make a difference, which is why we foster a culture of unlimited learning with opportunities for growth and mutual development.

The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.

We are looking for a Data Engineer who wants to learn and transform his career.

Responsibilities
  • Develop and maintain robust data pipelines using ETL / ELT tools like Azure Data Factory, Synapse Pipelines, and SSIS.
  • Model data in relational and multidimensional formats (Star Schema) to optimize queries and analyses.
  • Act as a technical reference for Data Science and Business Analytics teams, ensuring access to quality data.
  • Implement and manage Big Data solutions in cloud environments, mainly in Microsoft Azure (Data Lake, Synapse Analytics).
  • Ensure data governance, applying development, quality, and security standards.
  • Automate data loading and replication processes, including real‑time scenarios.
  • Collaborate in the implementation of DevOps pipelines for Analytics and AI projects.
Nice Skills
  • Experience with real‑time data loading and replication processes.
  • Knowledge of other cloud platforms (AWS, GCP).
  • Experience with agile methodologies (Scrum, Kanban).
  • Advanced level of English for technical reading and communication.
What We Offer
  • Professional development and constant evolution of your skills, always in line with your interests.
  • Opportunities to work outside Brazil.
  • A collaborative, diverse, and innovative environment that encourages teamwork.
  • TCS Benefits
  • Health insurance
  • Dental Plan
  • Life insurance
  • Transportation vouchers
  • Meal / Food Voucher
  • Childcare assistance
  • Gympass
  • TCS Cares – free 0800 that provides psychological assistance (24 hrs / day), legal, social, and financial assistance to associates
  • Partnership with SESC
  • Reimbursement of Certifications
  • Free TCS Learning Portal – Online courses and live training
  • International experience opportunity
  • Discount Partnership with Universities and Language Schools
  • Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
  • TCS Gems – Recognition for performance
  • Xcelerate – Free Mentoring Career Platform

We promote an inclusive culture, working for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. Our opportunities are based on these principles.

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